A Cause Analysis of Generative AI Users'Addiction:A Perspective from Cognition-Affect-Conation
The explosive growth of generative AI represented by ChatGPT attracts a large number of users to register and use,but also brings problems such as users'addiction,which may affect its healthy sustainable development.This research develops a model based on Cognition-Affect-Conation and analyzes the data via an approach of combining structural equation model and fuzzy-set qualitative comparative analysis.The results indicate that the features of generative AI including perceived anthropomorphism,perceived interactivity,perceived intelligence and perceived personalization influence flow experience and attachment,both of which lead to users'addiction.The fuzzy-set qualitative comparative analysis reveals three configurations that trigger ad-diction,among which flow experience and attachment are the common core conditions.The research findings imply that generative AI companies need to curb users'excessive immersion and attachment in order to prevent their addiction,thus ensuring the sound development of generative AI.
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