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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.

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The Role of Extraversion in AI-Mediated Communication: User Personality and AI Trait Preferences in Chinese Dyads

  • 会议论文

  • 发表日期：

    2026年

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  • Jindi Wang,
  • Ioannis Ivrissimtzis,
  • Zhaoxing Li,
  • Wen Gu,
  • Lei Shi

摘要

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.