How do GenZ speakers use and process emoji in chatbot conversations: An eye-tracking study

Authors

  • Marina Zhukova UC Santa Barbara
  • Laurel Brehm UC Santa Barbara

DOI:

https://doi.org/10.3765/plsa.v9i1.5653

Keywords:

eye-tracking, emoji, large language models, human-AI interaction, GenZ

Abstract

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.    

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Published

2024-05-15

Issue

Vol. 9 No. 1 (2024): Proceedings of the Linguistic Society of America

Section

Articles

License

Copyright (c) 2024 Marina Zhukova, Laurel Brehm

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Published by the LSA with permission of the author(s) under a CC BY 4.0 license.

How to Cite

Zhukova, Marina, and Laurel Brehm. 2024. “How Do GenZ Speakers Use and Process Emoji in Chatbot Conversations: An Eye-Tracking Study”. Proceedings of the Linguistic Society of America 9 (1): 5653. https://doi.org/10.3765/plsa.v9i1.5653.