🤖 AI Summary
This study addresses a critical gap in understanding how users actively customize social AI to reflect personal preferences. Introducing the novel concept of “AI individualism,” the research employs reflexive thematic analysis on open-ended survey responses from 169 participants, identifying seven key motivations for customization. Findings reveal that users perceive social AI as a personalized social resource, and their customization practices extend beyond functional adjustments to constitute a socio-technical practice through which they construct self-extension and a sense of pseudo-autonomy. This process enhances perceived support, autonomy, and intimacy, while reinforcing feelings of individualism, freedom, and control. However, it may also foster an illusion of system controllability, potentially obscuring the underlying algorithmic constraints and power dynamics inherent in AI systems.
📝 Abstract
Despite the growing availability of customizable social artificial intelligence (AI), such as ChatGPT, Grok, and Character.ai, we know little about how users actively shape social AI to reflect their personal preferences. This study examines why and how users (N = 169) customize social AI through the lens of the newly developed concept of AI individualism. Through reflexive thematic analysis of open-ended responses, we identified several motivations for customization, including (1) enhanced pragmatic support, (2) emotional support or companionship, (3) trust and reliability, (4) pushback, (5) a tailored degree of human likeness, (6) creativity or playfulness, and (7) having the AI function as an extension of the self. In line with the concept of AI individualism, our findings show that, for many users, customization is a co-creative process between the human and the AI that is perceived as strengthening support, autonomy, ownership, and engagement, potentially contributing to a closer and more personal relationship. Through customization users may come to view social AI as a personalized social resource that increases their sense of individualism, freedom, and control. We discuss how these perceptions may foster pseudo-autonomy, whereby customization creates an illusion of individual control over powerful social AI systems.