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Why am I willing to collaborate with AI? Exploring the desire for collaboration in human-AI hybrid group brainstorming DOI

Shuai Chen,

Yang Zhao

Kybernetes, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Purpose Human-artificial intelligence (AI) collaboration, as a new form of cooperative interaction, has been applied in brainstorming activities. This study aims to explore the impact performance-reward expectancy (PRE) and creative motivation (CM), along with search for ideas associative memory (SIAM) theory, on participants' AI collaboration intent (AICI). Design/methodology/approach The research employs an online survey targeting users experience. Structural equation modeling (SEM) is analyze data validate proposed hypotheses. Findings PRE shows positive correlation both intrinsic (IM) extrinsic (EM). Furthermore, EM significantly positively influences AICI, while IM negative significant effect. Additionally, confirms mediating role social inhibition (SI) between AICI. Research limitations/implications examines collaborate brainstorming, filling gap existing research. It integrates SIAM theory how performance rewards influence this intent. reveal that performance-based effectively motivate engagement, but high may lead lower due autonomy concerns trust issues. emphasizes need open environment offers practical insights fostering addressing challenges like resistance among participants. Practical implications provides teams individuals, emphasizing importance integrating unlock its full potential. While are effective, still participants have attitudes toward collaboration. Creating inclusive essential. “individual + AI” model provoke highly intrinsically motivated participants, necessitating training improved transparency build trust. Although focused Chinese market, findings applicable globally, highlighting effective integration methods innovation. Social Our found can finding evidence our understanding mechanisms stimulating creativity. At same time, we also explored factors such production blocking affect individuals’ willingness work by influencing creativity motivation. better understand affects individual psychology team dynamics. These not only enrich innovation teamwork provide valuable references directions future Originality/value systematically CM within context AI-assisted first time. further investigates regulates process ultimately shapes engage offer theoretical guidance designing incentive enhance engagement AI-supported perspectives application

Language: Английский

Citations

Estimating Detection Thresholds of Being Looked at in Virtual Reality for Avatar Redirection DOI

Ephraim Schott, Irene López García,

Lauren August Semple

et al.

Published: April 24, 2025

Language: Английский

Citations

PeerEdu: Bootstrapping Online Learning Behaviors via Asynchronous Area of Interest Sharing from Peer Gaze DOI