arXiv:2507.19137v2 Announce Type: replace-cross Abstract: Prior research indicates that users prefer assistive technologies whose personalities align with their own. This has sparked interest in automatic personality perception (APP), which aims to predict an individual's perceived personality traits. Previous studies in APP have treated personalities as static traits, independent of context. However, perceived personalities can vary by context and situation as shown in psychological research. In this study, we investigate the relationship between conversational speech and perceived personalit
The proliferation of AI systems interacting directly with users makes understanding and adapting to perceived personality crucial for effective human-AI collaboration and trust.
Sophisticated AI systems will require nuanced social intelligence to move beyond basic task completion, impacting user adoption and the quality of human-AI interfaces.
The focus in AI personality perception research is shifting from static trait assumption to dynamic, context-dependent assessment, reflecting a more realistic understanding of human interaction.
- · AI developers
- · Customer service industries
- · Psychology researchers
- · Personalized assistant providers
- · One-size-fits-all AI solutions
- · AI systems lacking social intelligence
AI systems will become more adept at engaging users by adapting their communication styles based on inferred personality and context.
Increased user satisfaction and trust in AI could lead to broader integration of AI into sensitive and personal domains.
The development of highly adaptive AI personalities might inadvertently create new forms of human dependence or manipulation, requiring ethical guidelines.
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Read at arXiv cs.AI