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Conceptual Effects of Audience Design in Human–Computer and Human–Human Dialogue

Bibliographic Data

ID11273157
AuthorsChristopher Schmader (Northwestern University), William S Horton (0000-0002-5801-1971, Northwestern University, corresponding author)
Year2019
Volume56
Issue2
Pages170-190
Publication date2019-02-17
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueDiscourse Processes (JOURNAL)
Journal identifiersISSN: 0163-853X • E-ISSN: 1532-6950
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/0163853x.2017.1411716
OpenAlexW2779448014
LanguageEN
Citations received2
References cited38

Speakers in conversation often tailor referring expressions in ways that reflect beliefs about the knowledge and perspectives of specific addressees. In this study we examined whether such audience design can influence speakers’ conceptualizations of referents beyond the conversation. In a Wizard-of-Oz paradigm, participants identified novel images either for an ostensible computer dialogue application or for a human partner as part of a referential communication task. Subsequently, they independently sorted the task images into discrete groups. Consistent with audience design, when interacting with the computer a greater proportion of participants’ descriptions in the dialogue task focused on literal, geometric features compared with descriptions for the human partner. Importantly, participants’ postdialogue sorts were also more shape-based after human–computer interaction. Different ways of attending to objects for communicative purposes can affect how speakers construe objects for themselves

Affect (linguistics · Cognitive psychology · Computer-mediated communication · Conversation · Human communication · Human–computer interaction · Linguistics · Literal (mathematical logic · Task (project management · Wizard · Wizard of oz · World Wide Web · Communication · Computer Science · Language, Discourse, Communication Strategies · Language, Metaphor, and Cognition · Psychology · Speech and dialogue systems

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Unique citing works2
Citations per year0.67
Citation span2023 - 2025 (3)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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