mlsanityData to 14 Oct 2026

I wanted it to feel more personal: Customization of social AI as AI individualism in practice

arXiv 2607.17826 ↗First posted 20 Jul 2026cs.HC cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 11 of its 52 references that are in the map. First posted on arXiv 20 Jul 2026.

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References · 11

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2024A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applicationscited by 431
  3. 2023Large Language Models for Software Engineering: A Systematic Literature Reviewcited by 399
  4. 2018The Design and Implementation of XiaoIce, an Empathetic Social Chatbotcited by 172
  5. 2025ELEPHANT: Measuring and understanding social sycophancy in LLMscited by 129
  6. 2022How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Modelscited by 44
  7. 2025Customizing Emotional Support: How Do Individuals Construct and Interact With LLM-Powered Chatbotscited by 25
  8. 2025"My Boyfriend is AI": A Computational Analysis of Human-AI Companionship in Reddit's AI Communitycited by 20
  9. 2024CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Modelscited by 19
  10. 2026Large Language Lovers: Lived Experiences of Negotiating Agency and Platform Control in AI Companionshipcited by 3
  11. 2025"I am here for you": How relational conversational AI appeals to adolescents, especially those who are socially and emotionally vulnerablecited by 2

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