Sep 2026· Proceedings of the Human Factors and Ergonomics Society Annual Meeting· 0 citations· 15 references
TL;DR
The results revealed significant effects of tone and emotional intelligence of AI generated responses on user interaction, highlighting the importance of emotionally intelligent and polite AI communication in shaping user perceptions and supporting effective human-centered AI design and decision support systems.
Abstract
Generative artificial intelligence (AI) has rapidly transformed human-computer interaction by adopting conversational and adaptive communication styles. This study examined how generative AI communication style and user attributes influence perception and decision-making during AI assisted interaction. One hundred twenty-one participants completed individual difference measures before evaluating various communication styles of AI generated responses. Participants rated perceived empathy, trustworthiness, and tone of responses across scenarios. The results revealed significant effects of tone and emotional intelligence of AI generated responses on user interaction. The findings highlight the importance of emotionally intelligent and polite AI communication in shaping user perceptions and supporting effective human-centered AI design and decision support systems.
It is suggested that perceived interaction competence and general evaluative orientation independently contribute to user experience with socially capable AI agents, which have practical implications for the design of AI systems.
Michael J. Gazzanigo, Spencer House, Xiao Yang· Proceedings of the Human Fac...· 0 citations
It is found that individuals are generally reluctant to cooperate with AI possessing partial decision‐making authority, and this reluctance is shaped by perceived AI perspective‐taking, and it is suggested that psychologically anthropomorphic design may foster more effective human–AI interaction.
Xu-Yao Wu, Ye Li, Rui-Ning Wang et al.· European Journal of Social P...· 0 citations
It is shown that trust in AI is associated with both the facilitation and the perceived constraint of organizational decision-making, and it highlights accountability as a candidate governance mechanism for preserving self-reported human judgment in AI-assisted environments, pending behavioral validation.
Youngkeun Choi· Human Systems Management· 0 citations
Examining how consumers respond to AI implementation across industries that vary in perceived creativity finds that AI implementation negatively affects consumers’ willingness to purchase, regardless of the perceived creativity level of the industry.
The widespread adoption of generative artificial intelligence (AI) has significantly transformed the way people acquire knowledge, solve problems, and make decisions in both academic and professional settings. While these technologies improve efficiency and accessibility, their growing use has raised important psycholo...
K. Rosini· International Journal of Law...· 0 citations
People frequently encounter minor aversive experiences-such as rude interactions or social slights-that, while not major events, can still affect psychological well-being. In this research, we examine how people experience and perceive social support from artificial intelligence (AI) following such experiences. Drawing...
Roshni Raveendhran, Trevor A. Foulk· Journal of Personality and S...· 0 citations
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