Table of Contents
Overview
Definition and Scope
Conversation Analysis (CA) is an approach dedicated to the systematic study of social interaction, particularly focusing on talk-in-interaction. It emerged in the late 1960s and early 1970s, primarily through the work of sociologist Harvey Sacks, along with his associates Emanuel Schegloff and Gail Jefferson.[4.1] The foundational premise of CA is that language is integral to all forms of social interaction, positing that talk is not random but rather systematically organized and methodical, reflecting an "order at all points" in interaction.[3.1] Conversation analysis (CA) was developed in the late 1960s and early 1970s, primarily by sociologist Harvey Sacks along with his close associates Emanuel Schegloff and Gail Jefferson.[4.1] Sacks's work was influenced by earlier sociological theories, particularly ethnomethodology as proposed by Harold Garfinkel and Erving Goffman's concept of the interaction order.[4.1] Sacks began delivering formal lectures on conversation in 1964, first at UCLA and later at UC-Irvine, with transcripts of these lectures being circulated informally for decades and eventually published as "Lectures on Conversation".[6.1] Today, CA is recognized as an established method used in various disciplines, including sociology, anthropology, linguistics, speech communication, and psychology, and it operates alongside related methodologies such as interactional sociolinguistics, interactional linguistics, discourse analysis, and discursive psychology.[1.1] CA fundamentally serves as an approach to studying social interaction and talk-in-interaction, rooted in the sociological study of everyday life, and has exerted significant influence across the humanities and social sciences.[1.1]Key Concepts
Conversation Analysis (CA) is grounded in several key concepts that shape its approach to understanding social interactions. One of the foundational elements is the turn-taking system, which refers to the organized manner in which participants in a conversation alternate speaking. This system is crucial for maintaining the flow and coherence of dialogue, as it allows individuals to know when it is their turn to speak and how to manage overlaps in conversation.[19.1] The analysis of turn-taking reveals that conversations are structured around normative rules that dictate how single units of talk are allocated, ensuring orderly exchanges.[22.1] Another significant concept in CA is the mechanism of repair, which serves as a "self-righting mechanism" for addressing issues of speaking, hearing, or understanding during interactions.[14.1] Repair processes are essential for achieving mutual understanding among participants, as they bring conversational problems to the surface, allowing for resolution and continuity in dialogue.[14.1] The interplay between turn-taking and repair is critical, as the turn-taking system incorporates devices for addressing conversational troubles, thereby facilitating smoother interactions.[15.1] Ethnomethodology (EM) refers to the study of everyday reality and is significant enough in sociology to warrant dedicated attention alongside conversation analysis (CA).[9.1] The Section on Ethnomethodology and Conversation Analysis provides a forum for those with interests in EM and CA broadly conceived, encouraging the sharing of ideas related to local interaction orders, ordinary practices of action, and the organized details of conversation.[10.1] CA researchers study recordings of naturally occurring conversations, focusing on the sequential organization of talk, turn-taking, repair mechanisms, and the social actions performed through talk.[13.1] Understanding these techniques is crucial for analyzing how conversations unfold, how participants manage their turns, and how meaning is co-constructed in interaction.[13.1] CA emphasizes the significance of non-verbal cues in understanding social interaction and acknowledges that the act of recording interactions for analysis may influence how naturally participants behave.[13.1] This approach highlights the importance of understanding how participants shape the interaction without imposing external assumptions about social categories or relationships.[13.1] The evolution of CA has seen various schools and streams emerge, diverging from the original theories proposed by Sacks, Schegloff, and Jefferson in the 1960s.[18.1] Their pioneering work emphasized the analysis of casual conversation through tape recordings, highlighting the significance of locally produced order in social interactions.[20.1] As CA has developed, it has maintained a focus on the sequential organization of talk, turn-taking, and the social actions performed through conversation, which remain central to its methodology.[19.1]History
Foundational Figures
Harvey Sacks, Emanuel Schegloff, and Gail Jefferson are recognized as foundational figures in the development of Conversation Analysis (CA), a method that emphasizes the detailed study of talk-in-interaction. Their collaborative work in the 1960s significantly shaped the methodologies employed in CA, focusing on the structures and organization of everyday conversations and the social phenomena that arise from them.[76.1] Harvey Sacks, along with his colleagues Emanuel Schegloff and Gail Jefferson, played a crucial role in the development of conversation analysis (CA) in the early 1960s. Their work was inspired by Harold Garfinkel's insights into locally produced order, leading them to study the organization of casual conversation through the analysis of tape recordings.[79.1] Sacks's analysis of audiotape recordings at the Suicide Prevention Center in Los Angeles revealed a turn-by-turn sequential organization of interaction, which became one of the first significant discoveries in the field.[58.1] This foundational work highlighted how individuals coordinate and organize their interactions, a central focus of CA, which treats conversation as a primary social action.[60.1] Through this lens, conversation analysis examines how social order is constructed locally through talk, fundamentally influenced by Sacks's early contributions.[60.1] The development of Conversation Analysis (CA) in the early 1960s was significantly shaped by foundational figures Harvey Sacks, Emanuel Schegloff, and Gail Jefferson. Inspired by Harold Garfinkel's insights into locally produced order, they aimed to study the organization of casual conversation through empirical data derived from tape recordings of interactions.[79.1] CA is defined as a distinctive approach to studying social interaction, particularly focusing on talk-in-interaction through unmotivated observation and the collection of naturally occurring data.[57.1] The key concepts they developed, including turn-taking, adjacency pairs, preference organization, repair mechanisms, and sequential organization, are essential for understanding how conversations are structured and how participants coordinate their social actions.[77.1] Their work has provided a deep, empirically grounded understanding of everyday conversations, revealing the underlying social order of talk-in-interaction.[77.1] Thus, the collaboration among Sacks, Schegloff, and Jefferson not only enriched the field of CA but also established a robust framework for analyzing the observable features of human conduct in social interactions.[61.1] Tragically, Sacks's life was cut short in 1975 due to a car accident, leaving much of the subsequent development of CA to his collaborators and students.[78.1] Nonetheless, the legacy of Sacks, Schegloff, and Jefferson continues to influence contemporary discourse analysis, providing a deep, empirically grounded understanding of everyday conversations and the underlying social order of talk-in-interaction.[77.1]Development of the Field
The development of Conversation Analysis (CA) can be traced back to the late 1960s and early 1970s, primarily through the work of sociologist Harvey Sacks and his close associates Emanuel Schegloff and Gail Jefferson. Sacks was notably influenced by Harold Garfinkel's ethnomethodology and Erving Goffman's concept of the interaction order, which shaped the foundational ideas of CA.[47.1] Sacks's principal contribution was the assertion that there is "order at all points" in interaction, emphasizing that talk in interaction is systematically organized and methodical.[46.1] CA emerged as a distinctive approach to studying social interaction, particularly focusing on talk-in-interaction through unmotivated observation and the development of collections of conversational data.[49.1] This empirical approach prioritizes the context of interactions, allowing researchers to analyze how participants construct meaning and organize their social actions through both verbal and non-verbal communication.[69.1] The field has since expanded beyond its sociological roots, influencing various disciplines such as anthropology, linguistics, speech communication, and psychology.[47.1] CA is recognized for its qualitative methods that detail the structures of conversation, enabling researchers to explore how social order is created through everyday practices.[55.1] Ethnomethodology has played a significant role in shaping CA, as it emphasizes the importance of understanding how individuals construct and interpret their social realities through interaction.[51.1] This connection has led to a more formalized approach in CA, which focuses on the intricate mechanics of conversation and the collaborative nature of meaning-making among participants.[69.1]In this section:
Methodology
Data Collection Techniques
Data collection in Conversation Analysis (CA) focuses on understanding the dynamics of verbal and nonverbal communication between healthcare providers and patients. Effective communication is the bedrock of trust in healthcare relationships, necessitating that providers communicate clearly, empathetically, and transparently with patients to strengthen trust and rapport.[113.1] Research has shown that the application of various communication strategies significantly impacts patient-centered outcomes, including patient satisfaction, quality of care, and overall health.[116.1] By facilitating an effective informational exchange, these communication techniques enhance decision-making processes, ultimately leading to improved patient outcomes.[116.1] In healthcare settings, one effective technique for data collection is the use of audio or video recordings of consultations. These recordings allow researchers to analyze verbal exchanges and nonverbal cues, which are crucial for understanding the dynamics of patient-provider interactions. A prospective study involving patients new to an HIV primary care provider revealed that those who had better initial experiences and greater trust in their provider were significantly more likely to complete a second visit, adhere to their prescribed medications, and remain engaged in care.[114.1] This highlights the importance of capturing the nuances of communication during consultations, as effective interactions can lead to improved patient outcomes. Additionally, the study identified five actionable behaviors that can enhance the patient care experience: providing reassurance, encouraging patients to ask questions, showing patients their lab results and explaining their significance, avoiding judgmental language and behaviors, and inquiring about patients' treatment goals and preferences.[114.1] Additionally, researchers may utilize structured interviews or questionnaires to gather insights from both patients and providers regarding their experiences and perceptions of communication. For example, querying a patient's occupation at the beginning of a consultation has been identified as a technique that can help establish rapport and set the conversational pace, allowing providers to gauge a patient's health awareness and understanding.[115.1] This approach not only aids in building trust but also enhances the overall effectiveness of the consultation.Analytical Frameworks
Conversation Analysis (CA) employs a distinctive analytical framework that focuses on the systematic study of social interaction, particularly through the lens of talk-in-interaction. This methodology is rooted in the observation of naturally occurring conversations, allowing researchers to analyze the sequential organization of talk, turn-taking, and repair mechanisms, as well as the social actions performed through dialogue.[93.1] The foundational work of Harvey Sacks, along with his colleagues Emanuel Schegloff and Gail Jefferson, established CA as a rigorous approach to understanding how participants orient to and construct social actions through their interactions.[92.1] The analytical framework of CA emphasizes the importance of micro-level analysis, where researchers examine how participants make sense of each other in conversation by adhering to shared interactional norms.[91.1] This involves detailed transcription of interactions, capturing features such as pauses, intonation, and volume changes, which are critical for understanding the dynamics of communication.[96.1] Furthermore, CA recognizes the significance of non-verbal cues in social interaction, highlighting that meaning is co-constructed through both verbal and non-verbal elements.[93.1] In practical applications, conversation analysis (CA) has been successfully utilized in various fields, particularly in healthcare, where it has been applied to study interactions in primary care, surgery, pediatrics, and psychotherapy.[91.1] This methodological approach allows researchers to analyze the structures of interaction at a micro level, focusing on how participants make sense of each other through shared interactional norms.[91.1] The insights gained from CA research inform how healthcare professionals design their communication strategies, which significantly shapes the opportunities for and character of patient participation in consultations.[95.1] Furthermore, the principles of CA are expected to have a substantial influence on social work research and training, as talk and interaction are considered the backbone of social work, with communication skills lying at the heart of practice.[99.1] The aim of ongoing research is to showcase the value of CA in understanding how communication processes impact the outcomes of social work.[102.1]In this section:
Nonverbal CommunicationTrustCommunication StrategiesPatient-centered OutcomesPatient Satisfaction
Key Concepts In Conversation Analysis
Turn-Taking
Turn-taking is a fundamental concept in conversation analysis (CA), referring to the structured manner in which participants in a conversation alternate speaking roles. This system regulates who speaks and when, ensuring that conversations unfold in an organized manner. However, the specifics of turn-taking can vary significantly across different cultures. Research indicates that cultural elements play a crucial role in shaping the norms and rules governing turn-taking, which are universally accepted for productive discussions.[154.1] The anthropological literature highlights notable cultural differences in the timing and execution of turn-taking during ordinary conversations. For instance, English and Chinese speakers exhibit both similarities and differences in their turn-taking behaviors and approaches to disagreement, suggesting that conversational constructs can differ markedly between cultures.[156.1] This variation underscores the importance of understanding cultural contexts when analyzing conversational dynamics. In addition to turn-taking, the concept of repair mechanisms is integral to conversation analysis. Repair refers to the processes through which speakers address problems of speaking, hearing, or understanding during interactions. It acts as a "self-righting mechanism" that allows participants to surface and resolve misunderstandings, thereby facilitating mutual comprehension.[14.1] The interplay between turn-taking and repair is significant; the turn-taking system not only organizes conversation but also incorporates mechanisms for addressing conversational troubles.[15.1] Researchers in conversation analysis (CA) have studied recordings of naturally occurring conversations, focusing on the sequential organization of talk, turn-taking, repair mechanisms, and the social actions performed through dialogue. Understanding these techniques is crucial for analyzing how conversations unfold, how participants manage their turns, and how meaning is co-constructed in interaction.[13.1] Turn-taking, a fundamental concept in CA, refers to the orderly manner in which conversations typically occur, where individuals take turns speaking. This analysis delves deeper into how participants recognize when it is their turn to speak and the dynamics of conversational overlap.[16.1] Additionally, CA emphasizes the significance of non-verbal cues in understanding social interaction, acknowledging that the act of recording interactions for analysis might influence how naturally participants behave.[13.1] Ultimately, CA focuses on how participants in an interaction understand and shape the interaction, rather than imposing external assumptions about the influence of social categories or relationships.[13.1]Adjacency Pairs
Adjacency pairs are a fundamental concept in conversation analysis, referring to pairs of utterances in dialogue where the first utterance provokes a specific, expected response from the second speaker. This concept is crucial for understanding the structure and organization of talk in interaction. Adjacency pairs typically consist of two parts: the first part is a prompt or question, and the second part is a response or answer that is contextually relevant to the first. For instance, a common adjacency pair is a greeting followed by a greeting in return, such as "Hello" followed by "Hi." The study of adjacency pairs allows researchers to analyze how participants manage their turns in conversation and how meaning is co-constructed through these exchanges. This focus on sequential organization is essential for understanding the dynamics of social interaction, as it highlights the expectations and norms that govern conversational exchanges. By examining how adjacency pairs function, conversation analysts can uncover the implicit rules that guide communication and the ways in which speakers navigate these rules to maintain coherence and relevance in their interactions.[168.1] Conversation Analysis (CA) is an inductive, micro-analytic, and predominantly qualitative method for studying human social interactions, developed in the late 1960s and early 1970s by sociologist Harvey Sacks and his close associates Emanuel Schegloff and Gail Jefferson.[146.1] Sacks was influenced by Harold Garfinkel's ethnomethodology and Erving Goffman's concept of the interaction order, as well as other contemporary influences, including the generativism of Noam Chomsky.[146.1] CA has become an established method utilized across various fields, including sociology, anthropology, linguistics, speech communication, and psychology, and it operates alongside related methodologies such as interactional sociolinguistics, interactional linguistics, discourse analysis, and discursive psychology.[146.1] This chapter describes and illustrates the basic methods of CA, providing a foundational understanding of its key concepts and applications.[145.1]Applications Of Conversation Analysis
Social Interaction Studies
Conversation analysis (CA) serves as a vital methodological framework for studying social interactions, particularly in understanding the nuances of talk-in-interaction. This approach, which emerged in the late 1960s and early 1970s, was principally developed by sociologist Harvey Sacks and his associates, Emanuel Schegloff and Gail Jefferson. Their work was influenced by ethnomethodology and the interaction order, as conceptualized by Erving Goffman, and has since established CA as a significant method across various disciplines, including sociology, anthropology, linguistics, and psychology.[190.1] At its core, CA focuses on the sequential organization of talk, turn-taking, and the mechanisms of repair within conversations. Researchers analyze recordings of naturally occurring interactions, which allows them to observe how participants manage their turns and co-construct meaning through dialogue. This inductive and qualitative method emphasizes the importance of non-verbal cues, such as gestures and facial expressions, in understanding social interactions.[200.1] By examining these elements, CA provides insights into how individuals navigate conversations and the social actions performed through talk.[188.1] The application of conversation analysis (CA) in healthcare has significantly enhanced the understanding of patient-provider interactions. Empirical analyses of audiotaped interactions have identified distinct patterns of provider communication, highlighting the communication behaviors that differentiate each pattern.[195.1] This method has been instrumental in demonstrating how the dynamics of these conversations influence patient outcomes, as patient-provider communication is a critical component of clinical consultations.[196.1] The unique nature of each interaction results from various factors that shape the conversational sequence, underscoring the importance of analyzing these interactions.[196.1] Furthermore, conversation analysis has been utilized to develop typologies related to turn-taking and topic management, which are essential for optimizing communication in clinical settings.[194.1] This approach has its roots in earlier research on interactional processes in conversation, which laid the groundwork for understanding the link between communication and patient outcomes.[197.1] Conversation Analysis (CA) is a methodological approach developed within sociology and linguistics that provides a rigorous framework for studying interactions, particularly in health settings. This method is particularly effective in analyzing natural interactions, which are recorded on digital video to capture the real-time dynamics of communication. For instance, CA allows researchers to observe specific features of delivery, such as delays, pronunciation, changes in intonation, and volume, which are crucial for understanding how participants engage with one another.[192.1] The Handbook of Conversation Analysis presents a comprehensive overview of theoretical and descriptive research in this field, consolidating contributions from leading experts to serve as a vital resource for scholars interested in social interaction.[191.1] By illustrating the method through studies of doctor-patient interactions, CA demonstrates its applicability to large data sets and its potential to enhance communication outcomes in healthcare.[198.1]Recent Advancements
Technological Integration
Recent advancements in conversation analysis have been significantly influenced by technological integration, particularly through the rise of digital communication platforms and artificial intelligence. The Digital Revolution and the subsequent social media era have transformed how conversations are mediated, with these shifts being further accelerated during the COVID-19 pandemic, leading to an increased focus on technology-mediated interactions.[237.1] Moreover, advances in recording and analysis techniques over the last decade have enabled researchers to examine conversations in natural contexts with unprecedented precision and scale. This has opened new avenues for understanding human interactions and the social world.[239.1] However, despite these advancements, much of the current research still concentrates on shallow elements of conversation, indicating a gap between theoretical exploration and practical application in business contexts.[238.1] The integration of Large Language Models (LLMs) is transforming qualitative research methodologies by enabling researchers to interact with textual data in innovative ways. Scholars can now engage in a dialogue with their materials, asking targeted questions and probing for contextual insights, which enhances the process of refining theoretical connections.[241.1] This approach not only streamlines traditional tasks such as transcription but also supports the use of LLMs in traditional deductive coding, thereby opening up new opportunities for qualitative analysis.[243.1] Furthermore, the design of prompts and topics significantly influences conversation flows and data collection performance, highlighting both the potential and challenges of utilizing chatbots and conversational agents powered by LLMs.[242.1] The emergence of conversational technologies, such as voice assistants and chatbots, has spurred a growing body of research within conversation analysis (CA). This research includes the development of frameworks like CADENCE (Conversation Analytic Design for Enhanced Natural Conversation Experience), which aims to enhance the naturalness of interactions with these technologies.[240.1] Scholars have recognized the significant influence of conversational AI on consumer engagement and user experiences, highlighting the need for theoretical frameworks that address the evolving dynamics between AI systems and human users.[249.1] However, the capacity of these technologies to generate text raises ethical concerns, particularly regarding the potential overreliance on them, which may detract from human interaction and creativity.[248.1] As researchers continue to explore these implications, they emphasize the importance of understanding conversational AI systems as active participants in communication, thereby acknowledging their agency alongside human agents.[249.1] Furthermore, the influence of video conferencing on conversation analysis methodologies has been notable. For instance, the dynamics of facial expressions during video calls have been shown to significantly affect interactional synchrony, which is crucial for effective communication.[244.1] Challenges such as limited visibility and the absence of eye contact can hinder participation and engagement in virtual discussions.[245.1]Interdisciplinary Approaches
Recent advancements in conversation analysis (CA) have increasingly embraced interdisciplinary approaches, particularly in the context of language teacher education and digital communication. The integration of CA principles into language teacher training has been notably influential, as evidenced by the development of the Conversation Analytic Language Teacher Education (CALTE) model. This model employs a micro-analytic approach to enhance teacher learning in digital environments, thereby providing new insights into the theory and practice of second language education.[272.1] Moreover, the application of CA methodologies has been recognized as beneficial for analyzing online interactions, where the structural and social dynamics of ordinary conversation serve as a foundational model for understanding text-based dialogues on digital platforms.[273.1] This growing body of research highlights the relevance of CA in examining how conversational dynamics manifest in digital communication, thus bridging the gap between traditional face-to-face interactions and their digital counterparts. In educational settings, the use of authentic conversational data has been shown to significantly enhance second language pedagogy. By integrating real-world language use into instructional materials or adopting CA-informed pedagogical approaches, educators can explicitly teach interactional competencies that proficient speakers and listeners employ.[268.1] This not only improves learners' abilities to engage in effective communication but also fosters the development of interactional resources necessary for navigating conversational contexts both inside and outside the classroom.[274.1] The Conversation Analysis Tool (CAT), developed by Hakuta et al. (2016), has been effectively implemented in the online course "Constructive Classroom Conversations: Mastering Language for College and Career Readiness" offered by the Stanford University Graduate School of Education. This tool serves as a methodological framework for enhancing the understanding of both face-to-face and digital communication among English for Speakers of Other Languages (ESOL) teachers.[270.1] Furthermore, the application of a multimodal Conversation Analysis (CA) approach in language teacher education (LTE) activities within digital spaces provides new insights into the theory, research, and practice of second and foreign language teacher education.[271.1] This approach conceptualizes a model of Conversation Analytic Language Teacher Education (CALTE), which can be instrumental in designing interactive learning experiences that engage students critically with various forms of communication.[271.1]In this section:
Challenges And Critiques
Limitations of Conversation Analysis
Conversation Analysis (CA) faces several limitations and critiques that impact its methodological rigor and applicability. One significant challenge arises from the nature of the data used in CA, which typically involves recordings of naturally occurring conversations. Researchers must consider that the act of recording may influence how participants behave, potentially altering the authenticity of the interaction being studied.[277.1] This concern highlights the delicate balance between capturing genuine conversational dynamics and the potential for observer effects. Moreover, existing reviews of conversation research have predominantly focused on text generated by a single author, such as product reviews and public speeches, leaving unresolved questions regarding the unique challenges posed by interactive conversation data.[276.1] This limitation suggests that CA may not fully account for the complexities inherent in dialogue, where multiple voices and perspectives interact simultaneously. Another critique stems from the ethnomethodological perspective, which argues that idealized and de-contextualized practices in CA can overlook the rich, contextual factors that shape interactions.[278.1] Understanding the context in which conversations occur is crucial, as it significantly influences how speakers interpret each other's messages.[280.1] However, CA has been critiqued for not sufficiently integrating these contextual elements, which can lead to a narrow understanding of conversational dynamics. Conversation analysis (CA) emphasizes the non-verbal aspects of speech acts to enrich the context for data analysis, findings, presentation, and dissemination of research in interaction.[279.1] It recognizes that accompanying features of interaction, such as non-verbal cues, play a significant role in shaping the meaning of spoken interactions. Unlike other research approaches that primarily focus on the literal meaning of words, CA also examines the semiotic systems that guide communication and understanding.[279.1] However, CA may not fully account for how these non-verbal factors differ across various cultural and situational contexts, which can lead to potential misunderstandings if not adequately addressed. Cultural backgrounds significantly influence interpretations and expectations, thereby affecting language choice and tone.[279.1] Analyzing these cultural contexts is crucial for understanding the misunderstandings that may arise during interactions, as it allows researchers to appreciate how different elements contribute to the richness of discourse and enhance their analytical capabilities.[279.1] The methodological issues in conversation analysis (CA) are significantly shaped by the nature of data collection practices. Data collection for CA is often considered straightforward because researchers are typically immersed in environments rich with relevant data, such as conversations among friends, family, and professionals.[286.1] However, this immersion raises challenges, particularly regarding the maintenance of objectivity and rigor during analysis. Existing reviews of text analysis and conversation research have primarily focused on texts produced by a single author, such as product reviews, news articles, and public speeches, which leaves open questions about the unique challenges posed by interactive conversation data, or dialogue.[285.1] The differences between single-voiced text and dialogue underscore the complexities involved in interpreting meaning within spoken interactions, suggesting that the reliance on naturally occurring conversations may not always provide the structured data necessary for comprehensive analysis.[285.1]References
[1] Conversation analysis - Wikipedia — Conversation analysis was developed in the late 1960s and early 1970s principally by the sociologist Harvey Sacks and his close associates Emanuel Schegloff and Gail Jefferson.: ix–lxii Sacks was inspired by Harold Garfinkel's ethnomethodology and Erving Goffman's conception of what came to be known as the interaction order, but also a number of minor sources of contemporary influences such as the generativism of Noam Chomsky and its focus on building an apparatus.: xxi, xxxvi The speech act theory of John Searle was a parallel development rather than influencing or influenced by CA.: xxiv Today CA is an established method used in sociology, anthropology, linguistics, speech-communication and psychology, and works alongside related approaches such as interactional sociolinguistics, interactional linguistics, discourse analysis and discursive psychology.
[3] Conversation Analysis - Literary and Critical Theory - Oxford ... — Introduction. Conversation Analysis (hereafter CA) has its origins in qualitative approaches in sociology. In the 1960s and 1970s Harvey Sacks assumed that language is fundamental to all social interaction, so that the study of naturally occurring conversation as the most basic form of language is essential to understanding all human interaction, because of how language creates and shapes even
[4] Conversation Analysis: An Introduction to Methodology, Data ... - Springer — 2.1 Beginnings and Development of CA. Conversation analysis was developed during the 1960s and 1970s, primarily by Harvey Sacks with Emanuel Schegloff and Gail Jefferson (Heritage 1984).Some of Sacks' theorizing about how to study everyday social life can be traced to the work of his theoretical predecessors, Goffman and Garfinkel and, in particular, a field of sociology called
[6] The development of conversation analysis - Academic library — The development of conversation analysis Sacks started delivering his formal lectures on conversation in classes in 1964, first at UCLA and later (from 1968 on) at UC-Irvine. Transcripts of these lectures were circulated informally by Sacks' students and colleagues for decades, and many were eventually published as Lectures on Conversation
[9] 12.3: Ethnomethodology and Conversation Analysis — Though not unique methods of data collection per se, ethnomethodology and conversation analysis are unique enough, and prominent enough in sociology, that they warrant some dedicated attention in this text. Ethnomethodology refers to the study of everyday reality.
[10] Ethnomethodology and Conversation Analysis Archives | American ... — The Section on Ethnomethodology and Conversation Analysis provides a forum for those with interests in EM & CA broadly conceived. The EM/CA Section provides an opportunity to talk about common interests in the Sociology of everyday life, including local interaction orders, ordinary practices of action, and the organized details of conversation. The EM/CA Section encourages the sharing of ideas
[13] Conversation Analysis - Simply Psychology — They studied recordings of naturally occurring conversations, focusing on the sequential organization of talk, turn-taking, repair mechanisms, and the social actions performed through talk. Understanding these techniques is crucial for researchers to analyze how conversations unfold, how participants manage their turns, and how meaning is co-constructed in interaction. Conversation analysis (CA) emphasizes the significance of non-verbal cues in understanding social interaction. Conversation Analysis (CA) researchers acknowledge that recording interactions for analysis might influence how naturally participants behave. It is important to note that conversation analysis (CA) focuses on analyzing how participants in an interaction understand and shape the interaction, rather than imposing external assumptions about the influence of social categories or relationships.
[14] Repair: The Interface Between Interaction and Cognition — 2.7 Repair as a starting point for analysis. Repair is a procedural "self-righting mechanism" for problems of speaking, hearing or understanding in talk (Schegloff et al., 1977). To solve these problems, people have to bring them to the surface level where we see them working together to achieve sufficient mutual understanding to move on.
[15] Interactive repair and the foundations of language — Turn-taking and repair have been co-implicated from the earliest account of the generative rules of spontaneous conversation: 'the turn-taking system lends itself to, and incorporates devices for, repair of its troubles; and the turn-taking system is a basic organizational device for the repair of any other troubles in conversation' .
[16] Turn-Taking Definition in Conversation Analysis - ThoughtCo — In conversation analysis, turn-taking is a term for the manner in which orderly conversation normally takes place.A basic understanding can come right from the term itself: It's the notion that people in a conversation take turns in speaking. When studied by sociologists, however, the analysis goes deeper, into topics such as how people know when it's their turn to speak, how much overlap
[18] Sequence analysis in the development of ethnomethodological ... — From the original ethnomethodologically oriented 'conversation analysis' founded and practised by Sacks, Schegloff and Jefferson, there have developed in the past 50 years various schools and streams of conversation analysis that differ from one another and have moved away from their common origin in terms of their assumptions, approaches and their objects of study.
[19] Sacks, Schegloff, and Jefferson in Discourse Analysis — 1. Key Contributions of Sacks, Schegloff, and Jefferson Turn-Taking System. One of the most significant contributions of Sacks, Schegloff, and Jefferson is their analysis of the turn-taking system in conversation. They discovered that conversation is organized around a system where participants take turns speaking in a relatively orderly manner.
[20] PDF — Sacks, Schegloff and Jefferson: Order in Conversation Inspired by Garfinkel's insights about locally produced order, Harvey Sacks, together with Emanuel Schegloff and Gail Jefferson, developed CA in the early 1960s to study order in casual conversation between peers through tape-recordings. Conversation analysis, since the very beginning
[22] Conversation Analysis as Social Theory - ResearchGate — In the well-known analysis developed by Sacks, Schegloff and Jefferson (1974), the turn- taking problem is solved via a normative system in which single units of talk are allocated to
[46] Conversation Analysis | The Oxford Handbook of Sociolinguistics ... — The history of the development of ethnomethodology and Conversation Analysis (CA) may be found in Heritage (1984). The principal originator of CA was Harvey Sacks. His most important idea was that there is "order at all points" in interaction—that talk in interaction is systematically organized, and deeply ordered and methodical.
[47] Conversation analysis - Wikipedia — Conversation analysis was developed in the late 1960s and early 1970s principally by the sociologist Harvey Sacks and his close associates Emanuel Schegloff and Gail Jefferson.: ix–lxii Sacks was inspired by Harold Garfinkel's ethnomethodology and Erving Goffman's conception of what came to be known as the interaction order, but also a number of minor sources of contemporary influences such as the generativism of Noam Chomsky and its focus on building an apparatus.: xxi, xxxvi The speech act theory of John Searle was a parallel development rather than influencing or influenced by CA.: xxiv Today CA is an established method used in sociology, anthropology, linguistics, speech-communication and psychology, and works alongside related approaches such as interactional sociolinguistics, interactional linguistics, discourse analysis and discursive psychology.
[49] Conversation Analysis - an overview | ScienceDirect Topics — 'Conversation Analysis' is defined as a distinctive approach to studying social interaction, particularly talk-in-interaction, through unmotivated observation and the development of collections. Conversation analysis (CA) studies practices and structures of language use in talk in interaction as forms of human social action. This article overviews conversation analysis, a sociological approach to the study of social interaction. Conversation analysis (CA) studies the methods participants orient to when they organize social action through talk. Conversation analysis (hereafter CA) is an approach to the study of social interaction which emerged in the 1960s in the work of Harvey Sacks, Emanuel Schegloff, and Gail Jefferson. Conversation analysis (CA) is an approach to social interaction, which describes the stable structures and organizations of practice through which persons accomplish ordinary activities.
[51] Ethnomethodological Conversation Analysis - Everyday Sociology Blog — Conversation Analysis is deeply rooted in ethnomethodology — a sociological perspective that views social reality as actively constructed and interpreted by everyday members. Ethnomethodological researchers analyze how participants themselves organize and make sense of their interactions, rather than imposing external frameworks.
[55] Ethnomethodological Conversation Analysis in Motion — This volume discusses current and emerging trends in Ethnomethodological Conversation Analysis (EMCA). Focusing on step-by-step procedures of talk and interaction in real time, EMCA explores how people - through locally-produced, public, and common-sensical practices - accomplish activities together and thereby make sense and create social order as part of their everyday lives.
[57] Conversation Analysis - an overview | ScienceDirect Topics — 'Conversation Analysis' is defined as a distinctive approach to studying social interaction, particularly talk-in-interaction, through unmotivated observation and the development of collections. Conversation analysis (CA) studies practices and structures of language use in talk in interaction as forms of human social action. This article overviews conversation analysis, a sociological approach to the study of social interaction. Conversation analysis (CA) studies the methods participants orient to when they organize social action through talk. Conversation analysis (hereafter CA) is an approach to the study of social interaction which emerged in the 1960s in the work of Harvey Sacks, Emanuel Schegloff, and Gail Jefferson. Conversation analysis (CA) is an approach to social interaction, which describes the stable structures and organizations of practice through which persons accomplish ordinary activities.
[58] Sage Research Methods - Conversation Analysis - Discovering Sequences ... — The discovery of a turn-by-turn sequential organization of interaction was one of the first important discoveries and foci of attention in the development of conversation analysis. As Harvey Sacks, in his work at the Suicide Prevention Center in Los Angeles, began to analyze audiotape recordings of calls to the Center, he noticed certain
[60] (PDF) Conversation analysis - Academia.edu — Conversation analysis, rooted in ethnomethodology, examines how individuals coordinate and organize interactions, fundamentally influenced by the early work of Harvey Sacks. This analysis treats conversation as a primary social action, revealing how social order is locally constructed through talk.
[61] Sage Reference - Encyclopedia of Communication Theory - Conversation ... — Conversation analysis (CA), initially developed by Harvey Sacks with Emanuel Schegloff, David Sudnow, and others, seeks to provide a descriptive study of human conduct via empirical data of naturally occurring interaction. ... From its inception in the early 1960s, CA has developed a set of concerns centered on the observable features of
[69] Ethnomethodological Conversation Analysis - Everyday Sociology Blog — Conversation Analysis (CA) is an approach to studying everyday social interactions which focuses on how participants in a conversation collaboratively build meaning and organize their interactions through verbal and non-verbal behaviors. In addition, there is a focus on the role of non-verbal communication, including gestures, facial expressions, eye contact and other non-verbal cues which are crucial for turn-taking, signaling emotions, and reinforcing spoken messages.Conversation Analysis is deeply rooted in ethnomethodology — a sociological perspective that views social reality as actively constructed and interpreted by everyday members. By delving into the intricate mechanics of everyday conversations, CA offers valuable insights into how humans organize social interaction, negotiate meaning, and build shared understanding. Ethnomethodological Conversation Analysis (CA) delves into the intricate mechanics of everyday conversations, offering valuable insights into how humans organize social interaction and negotiate meaning.
[76] Conversation Analysis - JSTOR — tion analysis. Conversation analysis (hereafter abbreviated as CA) developed as a field of study in the 1960s through intense collaboration among the late Harvey Sacks, Emanuel Schegloff, and Gail Jefferson. Arising within sociology, CA emerged from the "cognitive revolution" that swept across the social sciences
[77] Sacks, Schegloff, and Jefferson in Discourse Analysis — Harvey Sacks, Emanuel Schegloff, and Gail Jefferson are foundational figures in the development of Conversation Analysis (CA), a method within discourse analysis that focuses on the detailed study of talk-in-interaction. In discourse analysis, adjacency pairs are fundamental for understanding how conversations are structured and how participants coordinate their social actions through talk. How do Sacks, Schegloff, and Jefferson’s concepts remain relevant in modern discourse analysis?Their concepts, such as turn-taking, adjacency pairs, preference organization, repair mechanisms, and sequential organization, remain central to understanding the intricate workings of human communication. What is the legacy of Sacks, Schegloff, and Jefferson in the field of discourse analysis?Their legacy lies in providing a deep, empirically grounded understanding of everyday conversations and revealing the underlying social order of talk-in-interaction.
[78] Conversation Analysis - SAGE Publications Inc — Conversation analysis was first developed in the USA in the late 1960s and early 1970s by Harvey Sacks, in collaboration with Emanuel Schegloff and Gail Jefferson. Tragically, Sacks was killed in a car crash in 1975, leaving much of the subsequent development of the approach to his collaborators, colleagues and students.
[79] PDF — Sacks, Schegloff and Jefferson: Order in Conversation Inspired by Garfinkel's insights about locally produced order, Harvey Sacks, together with Emanuel Schegloff and Gail Jefferson, developed CA in the early 1960s to study order in casual conversation between peers through tape-recordings. Conversation analysis, since the very beginning
[91] Conversation Analysis: An Introduction to Methodology, Data ... - Springer — In health care research, conversation analysis has been successfully applied in researching interactions in primary care, surgery, pediatrics, and psychotherapy, to name a few examples. Conversation analysis allows the researcher to analyze the structures of interaction at a micro level, focusing on how the participants make sense of each other in conversation through shared interactional norms. I consider methods of data collection and explore aspects of analysis in everyday conversation and in institutional interaction. Drew P, Heritage J, editors. Conversation analysis: a method for research into interactions between patients and health-care professionals. Conversation analysis and institutional talk: analyzing data. Nurses talking to patients: exploring conversation analysis as a means of researching nurse–patient communication. In: Drew P, Atkinson J, editors.
[92] Conversation Analysis - an overview | ScienceDirect Topics — 'Conversation Analysis' is defined as a distinctive approach to studying social interaction, particularly talk-in-interaction, through unmotivated observation and the development of collections. Conversation analysis (CA) studies practices and structures of language use in talk in interaction as forms of human social action. This article overviews conversation analysis, a sociological approach to the study of social interaction. Conversation analysis (CA) studies the methods participants orient to when they organize social action through talk. Conversation analysis (hereafter CA) is an approach to the study of social interaction which emerged in the 1960s in the work of Harvey Sacks, Emanuel Schegloff, and Gail Jefferson. Conversation analysis (CA) is an approach to social interaction, which describes the stable structures and organizations of practice through which persons accomplish ordinary activities.
[93] Conversation Analysis - Simply Psychology — They studied recordings of naturally occurring conversations, focusing on the sequential organization of talk, turn-taking, repair mechanisms, and the social actions performed through talk. Understanding these techniques is crucial for researchers to analyze how conversations unfold, how participants manage their turns, and how meaning is co-constructed in interaction. Conversation analysis (CA) emphasizes the significance of non-verbal cues in understanding social interaction. Conversation Analysis (CA) researchers acknowledge that recording interactions for analysis might influence how naturally participants behave. It is important to note that conversation analysis (CA) focuses on analyzing how participants in an interaction understand and shape the interaction, rather than imposing external assumptions about the influence of social categories or relationships.
[95] Conversation analysis: a method for research into interactions between ... — On the basis of the kind of CA research reviewed here, we can begin to see how – in quite specific ways – the opportunities for and character of patient participation in primary care consultations is shaped by the ways in which doctors design their turns at talk, when conducting a physical examination and delivering a diagnosis (though research shows this is true for other phases also; on openings see Robinson; 12 and Boyd and Heritage on history taking 20 ). In terms of doctor–patient interaction, CA research shows that, and how, the selections which doctors make in designing their turns have certain consequences for what patients go on to say and do (e.g. whether they continue to resist a diagnosis) – and hence for patient participation.
[96] PDF — It is • natural interaction made up of a series of turns of talk; • recorded on digital video, allowing us to see what Mum and Anna can see: the beans on Anna’s plate and Anna’s gesture after eating the spoonful of beans; • transcribed to capture features of delivery with added line numbers to allow us to point to specific features of the interaction (e.g., delay and pronunciation, changes in intonation and volume) because this is what people attend to when they are interacting with one another; and • real life unfolding before us as researchers, laid out to capture most precisely how it unfolded for participants, which is most important.
[99] Conversation analysis in social work research: a scoping review — Talk and interaction are 'the backbone of social work' (Hall et al., 2014: 2) and communication skills 'lie at the heart of social work practice' (Richards et al., 2005: 409).Thus, it might be expected that the influence of conversation analysis (CA) - a rigorous approach for systematically studying social interaction - would be significant in social work research and training.
[102] An introduction to conversation analysis in social work research — The aim of this special issue is to showcase the value and potential of conversation analysis to understand how the process, practice and outcomes of social work are achieved through communication. For over 50 years, conversation analysts have built up a vast body of research findings about the systematic nature of social interaction and what
[113] Considerations for Building and Maintaining Patient Trust: A ... — Effective communication is the bedrock of trust in any relationship, and healthcare is no exception. Providers must communicate clearly, empathetically, and transparently with patients. ... strengthening trust and rapport. ... Continuity of care plays a pivotal role in fostering trust and confidence in healthcare providers. Patients value
[114] Building trust and rapport early in the new doctor-patient relationship ... — In our prospective study of patients new to an HIV primary care provider, patients with better initial experiences and greater trust in the provider were significantly more likely to complete a second visit, take their medicines as prescribed and remain in care . Our study is unique in identifying five actionable behaviors that have the potential to greatly improve the patient care experience: 1) provide reassurance, 2) tell patients it’s okay to ask questions, 3) show patients their lab results and explain what they mean, 4) avoid language and behaviors that are judgmental of patients, and 5) ask patients what they want [i.e., treatment goals and preferences].
[115] Approaches to building rapport with patients - PMC — Approaches to building rapport with patients - PMC In this article, I detail my rapport-building trial and error exercise and outline why addressing a patient's occupation at the beginning of a consultation worked during my history taking. Used with caution and never wholly relied upon, querying a patient's career at the beginning of a consultation has helped me to set the pace of a conversation, allowing me to extrapolate a patient's potential health awareness, baseline medical understanding and ability to process new concepts and complex explanations. Context considering, career probing, particularly at the beginning of a medical history, has helped me efficiently and effectively establish rapport with my patients.
[116] Quality communication can improve patient-centred health outcomes among ... — The studies investigated the effects of verbal and nonverbal communication strategies between patients and providers on various patient-centred outcomes, such as patient satisfaction, quality of care, quality of life, and physical and mental health. This rapid review’s explanation of how effective or quality communication leads to improved patient-centred outcomes in the introduction section formed the theoretical basis, that is, effective communication facilitates informational exchange between the patient and provider, leading to better decision-making, which positively influences patient outcomes The second step of a narrative synthesis entails organising findings from the included studies to describe patterns across the studies based on the direction of the effect size or effects .
[145] (PDF) Conversation Analysis - ResearchGate — Conversation Analysis (CA) is an inductive, micro-analytic, and predominantly qualitative method for studying human social interactions. This chapter describes and illustrates the basic methods of CA.
[146] Conversation analysis - Wikipedia — Conversation analysis was developed in the late 1960s and early 1970s principally by the sociologist Harvey Sacks and his close associates Emanuel Schegloff and Gail Jefferson.: ix–lxii Sacks was inspired by Harold Garfinkel's ethnomethodology and Erving Goffman's conception of what came to be known as the interaction order, but also a number of minor sources of contemporary influences such as the generativism of Noam Chomsky and its focus on building an apparatus.: xxi, xxxvi The speech act theory of John Searle was a parallel development rather than influencing or influenced by CA.: xxiv Today CA is an established method used in sociology, anthropology, linguistics, speech-communication and psychology, and works alongside related approaches such as interactional sociolinguistics, interactional linguistics, discourse analysis and discursive psychology.
[154] (PDF) Culture-Specific Aspects of Turn-taking: An Analysis of ... — Analysis of the findings surfaced that cultural elements in turn-taking are universally accepted for an organized conversation that follows specific norms and rules of the productive discussion.
[156] Turn-Taking and Disagreement: A Comparison of American English and ... — The similar and disparate behaviors of the English and Chinese speakers in terms of turn-taking and disagreement imply that the "ways of constructing conversations between two people from different cultures may have similarities and differences" from the "ways in which they converse with members who share their cultural backgrounds
[168] Conversation Analysis - Simply Psychology — They studied recordings of naturally occurring conversations, focusing on the sequential organization of talk, turn-taking, repair mechanisms, and the social actions performed through talk. Understanding these techniques is crucial for researchers to analyze how conversations unfold, how participants manage their turns, and how meaning is co-constructed in interaction. Conversation analysis (CA) emphasizes the significance of non-verbal cues in understanding social interaction. Conversation Analysis (CA) researchers acknowledge that recording interactions for analysis might influence how naturally participants behave. It is important to note that conversation analysis (CA) focuses on analyzing how participants in an interaction understand and shape the interaction, rather than imposing external assumptions about the influence of social categories or relationships.
[188] Conversation Analysis - Simply Psychology — They studied recordings of naturally occurring conversations, focusing on the sequential organization of talk, turn-taking, repair mechanisms, and the social actions performed through talk. Understanding these techniques is crucial for researchers to analyze how conversations unfold, how participants manage their turns, and how meaning is co-constructed in interaction. Conversation analysis (CA) emphasizes the significance of non-verbal cues in understanding social interaction. Conversation Analysis (CA) researchers acknowledge that recording interactions for analysis might influence how naturally participants behave. It is important to note that conversation analysis (CA) focuses on analyzing how participants in an interaction understand and shape the interaction, rather than imposing external assumptions about the influence of social categories or relationships.
[190] Conversation analysis - Wikipedia — Conversation analysis was developed in the late 1960s and early 1970s principally by the sociologist Harvey Sacks and his close associates Emanuel Schegloff and Gail Jefferson.: ix–lxii Sacks was inspired by Harold Garfinkel's ethnomethodology and Erving Goffman's conception of what came to be known as the interaction order, but also a number of minor sources of contemporary influences such as the generativism of Noam Chomsky and its focus on building an apparatus.: xxi, xxxvi The speech act theory of John Searle was a parallel development rather than influencing or influenced by CA.: xxiv Today CA is an established method used in sociology, anthropology, linguistics, speech-communication and psychology, and works alongside related approaches such as interactional sociolinguistics, interactional linguistics, discourse analysis and discursive psychology.
[191] The Handbook of Conversation Analysis | Wiley Online Books — Presenting a comprehensive, state-of-the-art overview of theoretical and descriptive research in the field, The Handbook of Conversation Analysis brings together contributions by leading international experts to provide an invaluable information resource and reference for scholars of social interaction across the areas of conversation analysis, discourse analysis, linguistic anthropology
[192] PDF — It is • natural interaction made up of a series of turns of talk; • recorded on digital video, allowing us to see what Mum and Anna can see: the beans on Anna’s plate and Anna’s gesture after eating the spoonful of beans; • transcribed to capture features of delivery with added line numbers to allow us to point to specific features of the interaction (e.g., delay and pronunciation, changes in intonation and volume) because this is what people attend to when they are interacting with one another; and • real life unfolding before us as researchers, laid out to capture most precisely how it unfolded for participants, which is most important.
[194] Patient-Provider Interactions in Discourse Analysis — Methods for Analyzing Patient-Provider Interactions in Discourse Analysis 1. Conversation Analysis. Conversation analysis is a method used to examine the structure and patterns of interaction in patient-provider conversations. It focuses on turn-taking, sequences of questions and answers, and how participants manage topics and transitions in
[195] It takes two to tango: A dyadic approach to understanding the ... — In the patient-provider literature, empirical analysis of audiotaped interactions has identified patterns of provider communication, and the communication behaviors that distinguish each pattern.[24-27] Conversation analysis has also been used to develop typologies of patient-provider interactions related to turn-taking, achieving
[196] Methodological approaches applicable to patient-provider interaction ... — Patient-provider communication is an important component of clinical consultations that influences patient outcomes significantly (Street et al., 2009). Because of the dynamic nature of the interaction, each conversation is a one-of-a-kind result of its variables and how the parties construct the conversational sequence (Koudenburg et al., 2016).
[197] Methodological approaches applicable to patient-provider interaction ... — for patient-provider interactions in 1982 after publishing their research on healthcare interaction analysis (IA) and its link with patient outcomes (Carter et al., 1982; Inui et al., 1982). Their investigations were inspired by the previous work on interactional processes in conversation by Bales (1950), Roter
[198] Conversation analysis: a method for research into interactions between ... — Objective: To outline the perspective and method of Conversation Analysis (CA). Developed within sociology and linguistics, CA offers a rigorous method (applicable to large data sets) to the study of interaction in health settings. Strategy: The method of CA is illustrated through a review of CA studies of doctor-patient interactions. Two such
[200] Conversation Analysis: A Qualitative Approach — Conversation analysis also focuses on nonverbal cues, including facial expressions, gestures, and tone. Researchers examine the utilization of nonverbal cues by participants to communicate meaning, indicate the exchange of speaking turns, and manage the flow of conversation.
[237] A Practical Guide to Conversation Research: How to Study What People ... — At least three developments have enabled a recent boom in conversation research. First, conversations have become increasingly mediated through technology as a consequence of the Digital Revolution and Information Age of the 20th century and the social media era of the 21st century (Rainie & Wellman, 2012), shifts that were accelerated during the COVID-19 pandemic (M. Nguyen et al., 2020).
[238] The Imperative of Conversation Analysis in the Era of LLMs: A Survey of ... — In view of current advancements, it is evident that the majority of efforts are still concentrated on the analysis of shallow conversation elements, which presents a considerable gap between the research and business, and with the assist of LLMs, recent work has shown a trend towards research on causality and strategic tasks which are
[239] A Practical Guide to Conversation Research: How to Study What People ... — However, advances in recording and analysis techniques over the last decade have allowed researchers to more directly and precisely examine conversations in natural contexts and at a larger scale than ever before, and these advances open new paths to understand humanity and the social world.
[240] Designing conversations for the digital age: a collaboration between ... — Naturally, such challenges do not deter our community, and there is an emerging body of Conversation Analysis (CA) research on conversational technologies such as voice assistants like Alexa (e.g. Albert et al., 2023) and Google Home (e.g. Due & Luchow, forthcoming), call centre artificial agents (e.g. Avgustis et al., 2021; Korbut, 2023), and social robots (e.g. Majlesi et al., 2023; Pelikan, 2023; Pelikan & Hofstetter, 2023; Tuncer et al., 2023). With insights such as these, drawing on knowledge of how people design such social actions, and also with awareness of how to manipulate the TTS process to produce more human-like talk, we developed a workflow for designers of conversational AI systems: CADENCE (Conversation Analytic Design for Enhanced Natural Conversation Experience; Hazel & Brandt, 2023).
[241] "Conversing" With Qualitative Data: Enhancing Qualitative Research ... — Large Language Models (LLMs) are revolutionizing how qualitative researchers can work with textual data. Rather than relying only on codebooks or manual line-by-line analysis, scholars can "converse" with their materials by asking targeted questions, probing for contextual insights, and refining theoretical connections. This dialogue-like process speeds up traditional tasks—transcription
[242] Leveraging Large Language Models to Power Chatbots for Collecting User ... — Our chatbots covered 79% of the desired information slots during conversations, and the designs of prompts and topics significantly influenced the conversation flows and the data collection performance. We discuss the opportunities and challenges of building chatbots with LLMs. conversational agents, chatbots, large language models, dialogue acts
[243] An Examination of the Use of Large Language Models to Aid Analysis of ... — The increasing use of machine learning and Large Language Models (LLMs) opens up opportunities to use these artificially intelligent algorithms in novel ways. This article proposes a methodology using LLMs to support traditional deductive coding in qualitative research. We began our analysis with three different sample texts taken from existing interviews. Next, we created a codebook and
[244] Predicting video-conferencing conversation outcomes based on modeling ... — Effective video-conferencing conversations are heavily influenced by each speaker's facial expression. In this study, we propose a novel probabilistic model to represent interactional synchrony of conversation partners' facial expressions in video-conferencing communication. In particular, we use a hidden Markov model (HMM) to capture temporal properties of each speaker's facial expression
[245] Changes in Participant Interactions. Using Focus Group Analysis ... — Participant 17, an adult child, in focus Group 4 was unable to join the focus group using a camera, this impacted on their ability to be seen in the space and be included in the discussion, this may have been a factor in her limited contributions to the conversation. Eye contact available via video conference has been found to enhance rapport
[248] Conversational and generative artificial intelligence and human-chatbot ... — The results of the publication trends and citation impact on conversational chatbots and GAI ... use cases, and SWOT (strengths, weaknesses, opportunities, and threats) analysis of human-chatbot interaction (Farrokhnia ... capacity to generate text can result in an overreliance on technology at the expense of human interaction, creativity, and
[249] Proposing the "Digital Agenticity Theory" to analyze user engagement in ... — The literature has documented the growing recognition among researchers of the significant influence that conversational AI technologies have had on changing consumer engagement environments and user experiences (Das et al., 2023). This study addresses the need for theory development applicable to the reality of deepening interactions between AI-based systems and humans by conceptualizing conversational AI systems as actors and deriving the notion of DIGA to encourage user engagement (Hong et al., 2014, Enholm et al., 2022; Chandra et al., 2023). The DAT operates within the conceptual framework of new materialism, which holds that both human and non-human agents, including conversational AI systems, possess an equivalent level of agency.
[268] From Conversation to Interaction: A Pedagogical Exploration of Applying ... — Studies demonstrate that analyzing authentic conversational data can enhance second language pedagogy, either by integrating such data as instructional materials exemplifying real-world language use or by adopting a CA-informed pedagogical approach that explicitly teaches interactional competencies employed by proficient speakers and listeners (e.g., Barraja-Rohan, 2011; Hellermann, 2007). The observed improvements in participants’ abilities to respond promptly, use discourse markers effectively, and engage in smooth turn-taking sequences resonate with Eskildsen and Theodórsdóttir’s (2017) concept of “constructing L2 learning spaces.” Through the CA-informed instruction, learners were equipped with the interactional resources and competencies necessary to create and navigate learning opportunities within conversational contexts, both inside and outside the classroom.
[270] PDF — The abovementioned technique has found an effective methodological implementation in the Conversation Analysis Tool (CAT), developed by Hakuta et al. (2016) in the online course for ESOL teachers "Constructive Classroom Conversations: Mastering Language for College and Career Readiness" (Stanford University Graduate School of Education).
[271] Conversation Analytic Language Teacher Education in Digital Spaces — This book presents original research on language teacher education (LTE) activities in digital spaces, making use of a multimodal Conversation Analysis (CA) approach to examine multiple datasets and bring new insights into the theory, research, and practice of second/foreign language teacher education. The author conceptualizes a model of Conversation Analytic Language Teacher Education (CALTE
[272] Review of Conversation analytic language teacher education in digital ... — Overview Conversation Analysis (CA) has become increasingly influential in language teacher training and second language (L2) classroom research (e.g., Waring, 2016, and Huth, 2021). Building on this line of work, Balaman's monograph introduces Conversation Analytic Language Teacher Education (CALTE), an evidence-based, micro-analytic approach to language teacher learning in digital spaces
[273] Conversation Analytic Perspectives to Digital Interaction: Practices ... — A growing body of research on online interaction has made apparent the relevance and profitability of conversation analytic tenets and procedures for the analysis of text-based dialogues conducted on digital platforms (Giles et al. 2015; Meredith 2019). Ordinary conversation provides a basic structural and social model for digitally mediated dialogues (cf. Herring & Androutsopoulos 2015: 129
[274] From Conversation to Interaction: A Pedagogical Exploration of Applying ... — Studies demonstrate that analyzing authentic conversational data can enhance second language pedagogy, either by integrating such data as instructional materials exemplifying real-world language use or by adopting a CA-informed pedagogical approach that explicitly teaches interactional competencies employed by proficient speakers and listeners (e.g., Barraja-Rohan, 2011; Hellermann, 2007). The observed improvements in participants’ abilities to respond promptly, use discourse markers effectively, and engage in smooth turn-taking sequences resonate with Eskildsen and Theodórsdóttir’s (2017) concept of “constructing L2 learning spaces.” Through the CA-informed instruction, learners were equipped with the interactional resources and competencies necessary to create and navigate learning opportunities within conversational contexts, both inside and outside the classroom.
[276] A Practical Guide to Conversation Research: How to Study What People ... — Existing reviews of text analysis and conversation research have focused on text generated by a single author (e.g., product reviews, news articles, and public speeches) and thus leave open questions about the unique challenges presented by interactive conversation data (i.e., dialogue).
[277] Conversation Analysis - Simply Psychology — They studied recordings of naturally occurring conversations, focusing on the sequential organization of talk, turn-taking, repair mechanisms, and the social actions performed through talk. Understanding these techniques is crucial for researchers to analyze how conversations unfold, how participants manage their turns, and how meaning is co-constructed in interaction. Conversation analysis (CA) emphasizes the significance of non-verbal cues in understanding social interaction. Conversation Analysis (CA) researchers acknowledge that recording interactions for analysis might influence how naturally participants behave. It is important to note that conversation analysis (CA) focuses on analyzing how participants in an interaction understand and shape the interaction, rather than imposing external assumptions about the influence of social categories or relationships.
[278] METHODOLOGICAL ISSUES IN CONVERSATION ANALYSIS (1) - Paul ten Have — METHODOLOGICAL ISSUES IN CONVERSATION ANALYSIS by Paul ten Have©, University of Amsterdam ... The ethnomethodological critique of these practices comes down to the objection that idealized and de-contextualized ... Knorr-Cetina, K. (1981) 'Introduction: the micro-sociological challenge of macro-sociology: towards a reconstruction of social
[279] How to Conduct Conversational Analysis | Guide & Examples — Conversation analysis focuses on the non-verbal aspects of speech acts in order to provide rich context to data analysis, findings, presentation, and dissemination of research in interaction. Searches for communication studies often produce research that provides various conversation analysis examples that make use of notations to mark the various non-verbal cues accompanying interaction. While many other research inquiries that look at data from interviews and focus group discussions primarily examine the meaning of words and the co-construction of knowledge, conversation analysis acknowledges the importance of the accompanying features of interaction in influencing that meaning. Research employing conversation analysis often examines the semiotic systems - or the ways in which people communicate and understand meaning - that guide interaction.
[280] Discourse Analysis Example Conversation Explained - Insight7 — Understanding the context in which conversations occur is crucial in conversational analysis techniques. Context shapes the meaning behind words, influencing how speakers interpret each other's messages.
[285] A Practical Guide to Conversation Research: How to Study What People ... — Existing reviews of text analysis and conversation research have focused on text generated by a single author (e.g., product reviews, news articles, and public speeches) and thus leave open questions about the unique challenges presented by interactive conversation data (i.e., dialogue). ... the differences between single-voiced text and
[286] Data Collection in Conversation Analysis - SAGE Publications Inc — Consequently, data collection for conversation analytic purposes is, in some ways, straightforward because researchers are already immersed in, and surrounded by, data of interest: talk between friends, family, doctors and patients, lawyers and clients, journalists and politicians, teachers and students, and the like.