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Lookup NU author(s): Dr Lei ShiORCiD
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As AI chat assistants become integral to textual communication, understanding user preferences for conversational style is crucial. This user study of 28 people participating in AI-assisted icebreaking conversations in Chinese, explores the effects of AI extraversion levels (Extraverted, Average, Introverted) and linguistic styles (Humorous, Respectful) on user experience. The results reveal a general preference for Extraverted AI especially among introverted users and for natural style-personality pairings (Extraverted-Humorous, Introverted-Respectful). These findings highlight the importance of aligning AI personality and language style with user expectations to enhance interaction quality.
Author(s): Wang J, Ivrissimtzis I, Li Z, Gu W, Shi L
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 20th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2025)
Year of Conference: 2025
Pages: 137-141
Online publication date: 12/09/2025
Acceptance date: 26/04/2025
ISSN: 0302-9743
Publisher: Springer
URL: https://doi.org/10.1007/978-3-032-05008-3_27
DOI: 10.1007/978-3-032-05008-3_27
Library holdings: Search Newcastle University Library for this item
Series Title: Lecture Notes in Computer Science
ISBN: 9783032050083
