Main Focus

  • Investigating how everyday use of generative AI shapes human psychological experience, including motivation, optimal experience, and well-being.
  • Developing AI-powered methods for capturing human experience at scale, such as LLM-driven qualitative interviews and adaptive measurement formats.

Projects

Curriculum Vitae

  • present    Predoctoral Fellow, Centre for Environmental Neuroscience
  • present    Fellow, Max Planck School of Cognition
  • 2023    M.Sc. Mind & Brain, Humboldt-Universität zu Berlin
  • 2020    B.Sc. Cognitive Science, Osnabrück University

Selected Publications

Carmon, J., Heege, J., Necus, J. H., Owen, T. W., Pipa, G., Kaiser, M., ... & Wang, Y. (2020). Reliability and comparability of human brain structural covariance networks. NeuroImage, 220, 117104. https://doi.org/10.1016/j.neuroimage.2020.117104

Carmon, J., Bammel, M., Brugger, P., & Lenggenhager, B. (2021). Uncertainty promotes neuroreductionism: a behavioral online study on folk psychological causal inference from neuroimaging data. Psychopathology, 54(6), 298-304. 



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