How do GenZ speakers use and process emoji in chatbot conversations

An eye-tracking study

Bibliographic Data

ID22159459
AuthorsMarina A Zhukova (0000-0002-3069-570X, University of California, Santa Barbara), Marina Zhukova (0009-0002-6899-4403), Laurel Brehm (0000-0003-0424-8735, University of California, Santa Barbara)
Year2024
Volume9
Issue1
Pages5653
Publication date2024-05-15
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueProceedings of the Linguistic Society of America (JOURNAL)
Journal identifiersISSN: 2473-8689 • E-ISSN: 2473-8689
PublisherLinguistic Society of America (PUBLISHER • US)
DOI10.3765/plsa.v9i1.5653
OpenAlexW4396917100
LanguageEN
References cited10

This study investigates use and processing of emoji in chatbot conversations. 32 GenZ participants engaged in semi-naturalistic chats in an eye-tracker for ten minutes with a ChatGPT bot that used specific emoji from two personas (GenZ and Millennial). Eye-tracking and sentiment analysis revealed that the GenZ bot was typically positively perceived, while the Millennial bot showed one of two patterns: adaptation or hyperfocus on the ‘wrong’ emoji. The study sheds light on how emoji are used compared to words and their impact on AI assistant communication styles. The findings offer insights for studying open-ended conversations and linguistic patterns using ChatGPT

Chatbot · Emoji · Linguistics · Natural language processing · Programming language · Social media · World Wide Web · AI in Service Interactions · Computer Science · Digital Communication and Language · Language, Metaphor, and Cognition · Philosophy · Psychology · Artificial Intelligence

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Open DOIOpen Access