Publication | Open Access
Using linguistic features to measure presence in computer-mediated communication
48
Citations
10
References
2006
Year
Unknown Venue
Linguistic FeaturesCognitive ScienceEngineeringHuman CommunicationInterpersonal CommunicationCmc ConditionsSocial ComputingUser ExperienceAffective ComputingHuman InteractionHuman-computer InteractionConversation AnalysisCommunicationVerbal InteractionArtsSpeech CommunicationComputer-mediated CommunicationNonverbal Communication
We propose a method of measuring people's sense of presence in computer-mediated communication (CMC) systems) based on linguistic features of their dialogues. We create variations in presence by asking participants to collaborate on physical tasks in four CMC conditions. We then correlate self-reported feelings of presence with the use of specific linguistic features. Regression analyses show that 30% of the variance in self-reported presence can be accounted for by a small number of task-independent linguistic features. Even better prediction can be obtained when self-reported coordination is added to the regression equation. We conclude that linguistic measures of presence have value for studies of CMC.
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