LIBRARY
HON499_Fall2025_Moon Library Instruction_Harris: Noah
Library Catalog search: AI companionship
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More than just a chat: a taxonomy of consumers’ relationships with conversational AI agents and their well-being implicationsSummaryPurpose This paper aims to study the role of self-concept in consumer relationships with anthropomorphised conversational artificially intelligent (AI) agents. First, the authors investigate how the self-congruence between consumer self-concept and AI and the integration of the conversational AI agent into consumer self-concept might influence such relationships. Second, the authors examine whether these links with self-concept have implications for mental well-being.Design/methodology/approach This study conducted in-depth interviews with 20 consumers who regularly use popular conversational AI agents for functional or emotional tasks. Based on a thematic analysis and an ideal-type analysis, this study derived a taxonomy of consumer-AI relationships, with self-congruence and self-AI integration as the two axes.Findings The findings unveil four different relationships that consumers forge with their conversational AI agents, which differ in self-congruence and self-AI integration.
EBSCO's Computers: AI Companionship
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Personal AI, deception, and the problem of emotional bubbles.Personal AI is a new type of AI companion, distinct from the prevailing forms of AI companionship. Instead of playing a narrow and well-defined social role, like friend, lover, caretaker, or colleague, with a set of pre-determined responses and behaviors, Personal AI is engineered to tailor itself to the user, including learning to mirror the user's unique emotional language and attitudes. This paper identifies two issues with Personal AI. First, like other AI companions, it is deceptive about the presence of their emotions, which undermines the moral value of companionship. Second, Personal AI leads to a distinctly new form of deception concerning the origins of its emotions.