Paper Type
Complete
Paper Number
1222
Description
Despite the prevalence of human-AI collaboration in content provision, it remains understudied how individuals perceive and respond to content generated by AI and human-AI team (vs. human). Even less is known about their responses towards distinct forms of human-AI collaboration predominated either by humans or AI. Utilizing a two-stage experimental design within a hypothesized Q&A context, we show that: (1) content from AI or human-AI teams, as opposed to purely human-generated content, is attributed with lower agency and experience, triggering weaker engagement intentions; (2) content from AI-centered collaboration, compared to human-centered one, induces lower perceived human ability, which further reduces engagement intentions. Additionally, heterogeneity analyses suggest that individuals with greater acceptance and trust in advanced technology are less likely to bias against AI-generated content (AIGC). Our work advances the research on AI aversion and human-AI collaboration by revealing the mechanisms driving differential responses to varying forms of AIGC.
Recommended Citation
Zhang, Mingyue; Xu, Yu; and Wei, Xuan, "AI-centered vs. Human-centered: Exploring Users’ Attitude toward AIGC in Varying Forms of Human-AI Collaboration" (2024). PACIS 2024 Proceedings. 13.
https://aisel.aisnet.org/pacis2024/track01_aibussoc/track01_aibussoc/13
AI-centered vs. Human-centered: Exploring Users’ Attitude toward AIGC in Varying Forms of Human-AI Collaboration
Despite the prevalence of human-AI collaboration in content provision, it remains understudied how individuals perceive and respond to content generated by AI and human-AI team (vs. human). Even less is known about their responses towards distinct forms of human-AI collaboration predominated either by humans or AI. Utilizing a two-stage experimental design within a hypothesized Q&A context, we show that: (1) content from AI or human-AI teams, as opposed to purely human-generated content, is attributed with lower agency and experience, triggering weaker engagement intentions; (2) content from AI-centered collaboration, compared to human-centered one, induces lower perceived human ability, which further reduces engagement intentions. Additionally, heterogeneity analyses suggest that individuals with greater acceptance and trust in advanced technology are less likely to bias against AI-generated content (AIGC). Our work advances the research on AI aversion and human-AI collaboration by revealing the mechanisms driving differential responses to varying forms of AIGC.
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