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Human–AI interaction research needs to be embedded in psychological theory

Nature Reviews Psychology volume 5, pages 233–234 (2026) Cite this article

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Human–artificial intelligence (AI) interaction research can become outdated quickly as technologies advance. To ensure cumulative insights that outlast the latest model release, research should meaningfully rely on psychological theory to explain, predict and anticipate human–AI interaction.

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Acknowledgements

Y.E.B. thanks the Israel Science Foundation (Grant 349/23) and the Asper Fund of the Hebrew University Business School for funding. M.L. was partially funded by DFG grant 389792660 as part of TRR 248 CPEC – Center for Perspicuous Computing.

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Authors and Affiliations

  1. The Hebrew University Business School, The Hebrew University of Jerusalem, Jerusalem, Israel

    Yochanan E. Bigman

  2. The Federmann Center for the Study of Rationality, The Hebrew University of Jerusalem, Jerusalem, Israel

    Yochanan E. Bigman

  3. Management Group, WHU – Otto Beisheim School of Management, Düsseldorf, Germany

    Roman Briker

  4. Department of Psychology, University of Freiburg, Freiburg im Breisgau, Germany

    Markus Langer

Authors
  1. Yochanan E. Bigman
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  2. Roman Briker
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  3. Markus Langer
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Correspondence to Yochanan E. Bigman.

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The authors declare no conflicts of interest.

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Bigman, Y.E., Briker, R. & Langer, M. Human–AI interaction research needs to be embedded in psychological theory. Nat Rev Psychol 5, 233–234 (2026). https://doi.org/10.1038/s44159-026-00551-4

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