Loneliness, Social Interaction, and Generative AI Continuance Intention : The Differential Mediating Roles of Utilitarian and Affective Motivations

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Key Points

This study investigates how loneliness and social interaction influence the intention to continuously use generative AI, focusing on the mediating roles of utilitarian and affective motivations.
Constructed a multiple mediation model based on uses and gratifications theory and media dependency theory.
Collected responses from 761 adults with generative AI experience via a survey.
Analyzed data using structural equation modeling to explore mediating effects.
Only utilitarian motivation significantly positively affected continuance intention.
Emotional motivation showed no significant direct effect on continuance intention.
Among four indirect paths, only the path involving social interaction → utilitarian motivation → continuance intention was statistically significant.

Examines social interaction's impact on generative AI usage intention, highlighting motivation roles.

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Yi et al. (2026) studied this question.

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