Audience Design in Multiparty Conversation

Si On Yoon, Sarah Brown‐Schmidt

Cognitive Science · 2019 · 37 citations · 58 references

DOIFull text

Open access

Concepts

TL;DR

Prior research shows that when addressing two listeners with differing knowledge, speakers adopt an Aim Low strategy, tailoring speech to the least knowledgeable addressee. This study examines how speakers design utterances for groups with varied knowledge, testing whether they move beyond Aim Low for larger groups and whether cognitive demands of tracking multiple partners limit successful audience design. Speakers can track the knowledge of up to four partners and design language based on the group’s combined knowledge, revealing an audience design process that integrates multiple perspectives to balance individual needs.

Abstract

How do speakers design what they say in order to communicate effectively with groups of addressees who vary in their background knowledge of the topic at hand? Prior findings indicate that when a speaker addresses a pair of listeners with discrepant knowledge, that speakers Aim Low, designing their utterances for the least knowledgeable of the two addressees. Here, we test the hypothesis that speakers will depart from an Aim Low approach in order to efficiently communicate with larger groups of interacting partners. Further, we ask whether the cognitive demands of tracking multiple conversational partners' perspectives places limitations on successful audience design. We find that speakers can successfully track information about what up to four of their partners do and do not know in conversation. When addressing groups of 3-4 addressees at once, speakers design language based on the combined knowledge of the group. These findings point to an audience design process that simultaneously represents the perspectives of multiple other individuals and combines these representations in order to design utterances that strike a balance between the different needs of the individuals within the group.

References

58