Published on in Vol 11 (2024)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54369, first published .
Capacity of Generative AI to Interpret Human Emotions From Visual and Textual Data: Pilot Evaluation Study

Capacity of Generative AI to Interpret Human Emotions From Visual and Textual Data: Pilot Evaluation Study

Capacity of Generative AI to Interpret Human Emotions From Visual and Textual Data: Pilot Evaluation Study

Journals

  1. Elyoseph Z, Levkovich I. Comparing the Perspectives of Generative AI, Mental Health Experts, and the General Public on Schizophrenia Recovery: Case Vignette Study. JMIR Mental Health 2024;11:e53043 View
  2. Hadar-Shoval D, Asraf K, Mizrachi Y, Haber Y, Elyoseph Z. Assessing the Alignment of Large Language Models With Human Values for Mental Health Integration: Cross-Sectional Study Using Schwartz’s Theory of Basic Values. JMIR Mental Health 2024;11:e55988 View
  3. Shinan-Altman S, Elyoseph Z, Levkovich I. The impact of history of depression and access to weapons on suicide risk assessment: a comparison of ChatGPT-3.5 and ChatGPT-4. PeerJ 2024;12:e17468 View
  4. Haber Y, Levkovich I, Hadar-Shoval D, Elyoseph Z. The Artificial Third: A Broad View of the Effects of Introducing Generative Artificial Intelligence on Psychotherapy. JMIR Mental Health 2024;11:e54781 View