Affordances of, attachment to and satisfaction with generative artificial intelligence: an affordance actualization perspective
本研究从功能实现视角出发，结合依恋理论，通过调查529名ChatGPT用户，发现用户的技术熟练度影响满意度，情感和认知功能可供性分别通过身份认同和依赖影响过程与结果满意度。
Purpose Generative Artificial Intelligence (GAI) offers innovative services to users. For GAI companies, it is crucial to ensure user satisfaction in the face of fierce competition. Unlike traditional AI in automation, GAI services are augmentation and designed for value co-creation with users, which transform users into empowered stakeholders. This study investigates the interrelationship and boundaries of GAI satisfaction by distinguishing between satisfaction with process and outcome. It adopts an affordance actualization perspective, integrated with attachment theory, to examine how affordances influence GAI satisfaction through both affective and cognitive dimensions. Design/methodology/approach An online survey with ChatGPT-augmented contexts was conducted with 529 respondents, and the collected data are analyzed via partial least squares-based structural equation modeling. Findings The co-creation fosters a positive correlation between the process and the outcome, with individual competence (i.e. tech-savviness) as a boundary condition. Perceived creativity and enjoyment are identified as affective affordances and are predictors of GAI identity, while perceived credibility and serendipity are identified as cognitive affordances and are predictors of GAI dependency. GAI identity and dependency further enhance users’ satisfaction with process and outcome. Originality/value This study extends knowledge on GAI satisfaction by distinguishing satisfaction with process and outcome and captures the element of user heterogeneity by individual competence. This study also develops an affective-cognitive framework of GAI affordances and conceptualizes the actualization process, which contributes to empirical experience and practical applications.