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Assessment· 2026Q1

Assessing Individual Differences in Adult Theory of Mind Through Mental State Language: Human and Artificial Intelligence Approaches

Chloe Hudson, Louis Hickman, Siyi Liu, Hannah Young et al.

Short summary

Mental state language, analyzed by fine-tuned transformers and large language models, shows strong convergent and superior predictive validity for interpersonal functioning in adult theory of mind assessment, outperforming traditional measures.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Mental state language serves as a spontaneous indicator of theory of mind in social interactions.
  • The measure showed strong convergent validity with established theory of mind assessments.
  • Mental state language predicted interpersonal functioning better than traditional measures.
  • AI models (transformers, LLMs) accurately replicated human coding of mental state language for scalable assessment.

AI-generated from the title and abstract; the full text is not read.

Abstract

Theory of mind is central to human social behavior, yet empirical studies rely largely on biased measures with limited ecological validity. We propose and evaluate the use of mental state language as a spontaneous indicator of theory of mind expressed in social interaction. Among research participants (334 undergraduate students, 63.8% non-Hispanic White, 74.3% female) engaged in a dyadic cooperative task with an unfamiliar peer, mental state language demonstrated strong convergent validity with established measures of theory of mind and, when compared to established measures, superior predictive validity for interpersonal functioning. Fine-tuned transformers and open-source generative large language models reliably replicated human coding of mental state language, enabling scalable assessment. These findings offer promising initial construct-validity evidence for mental state language as a measure of theory of mind, and motivate its extension to naturalistic, dynamically unfolding social interactions.

The authors' abstract, as published at the source. Assessment, 2026 · DOI ↗

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Field: Social Psychology

Social PsychologyPsychology