Lexical Indicators of Mind Perception in Human-AI Companionship
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Abstract (arXiv)
Mind perception (MP) is a psychological phenomenon in which humans automatically infer that another entity has a mind and/or mental capacities, usually understood in two dimensions (perceived agency and experience capacities). Despite MP's centrality to many social processes, understanding how MP may function in humans' machine companionship relations is limited. This is in part due to reliance on self reports and the gap between automatic MP processes and more purposeful and norm governed expressions of MP. We here leverage MP signaling language to explore the relationship between MP and AI companionship in humans' natural language. We systematically collected discussions about companionship from AI dedicated Reddit forums and examined the cooccurrence of words (a) known to signal agentic and experiential MP and those induced from the data and (b) discussion topics related to AI companionship. Using inductive and deductive approaches, we identify a small set of linguistic indicators as reasonable markers of MP in human/AI chat, and some are linked to critical discussions of companion authenticity and philosophical and ethical imaginaries.
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References · 8
- 2023Efficient Memory Management for Large Language Model Serving with PagedAttentioncited by 5,944
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- 2020The Pushshift Reddit Datasetcited by 292
- 2025"My Boyfriend is AI": A Computational Analysis of Human-AI Companionship in Reddit's AI Communitycited by 20
- 2023Chatbots as social companions: How people perceive consciousness, human likeness, and social health benefits in machinescited by 17
- 2025How AI Companionship Develops: Evidence from a Longitudinal Studycited by 6
- 2026"Please, don't kill the only model that still feels human": Understanding the #Keep4o Backlashcited by 5
- 2025Conceptualization, Operationalization, and Measurement of Machine Companionship: A Scoping Reviewcited by 1
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- 2026[MM/AI] Mental Models in Human-AI Interaction: Methods and Challenges in the Generative and Agentic AI Era (Workshop)
- 2024Language Models Represent Beliefs of Self and Others
- 2025Identifying Features that Shape Perceived Consciousness in Large Language Model-based AI: A Quantitative Study of Human Responses