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
  5. Elyoseph Z, Gur T, Haber Y, Simon T, Angert T, Navon Y, Tal A, Asman O. An Ethical Perspective on the Democratization of Mental Health With Generative AI. JMIR Mental Health 2024;11:e58011 View
  6. Javed D. ADVANCING HUMAN-COMPUTER INTERACTION: EXPLORING THE FRONTIERS OF ARTIFICIAL EMOTIONAL INTELLIGENCE IN INTERACTIVE SYSTEMS AND ITS IMPLICATIONS FOR SOCIETAL INTEGRATION. NUST Business Review 2024;6(1) View
  7. On Y, Kim T, Kim N. Psychotherapy Based on the Large Language Models: On the Aspect of the Theory of Mind, a Narrative Review. Journal of Korean Neuropsychiatric Association 2024;63(3):151 View
  8. Dana Z, Nagra H, Kilby K. Role of Synchronous, Moderated, and Anonymous Peer Support Chats on Reducing Momentary Loneliness in Older Adults: Retrospective Observational Study. JMIR Formative Research 2024;8:e59501 View
  9. Guo Z, Lai A, Thygesen J, Farrington J, Keen T, Li K. Large Language Models for Mental Health Applications: A Systematic Review (Preprint). JMIR Mental Health 2024 View
  10. Park C, Kim J. Exploring Affective Representations in Emotional Narratives: An Exploratory Study Comparing ChatGPT and Human Responses. Cyberpsychology, Behavior, and Social Networking 2024;27(10):736 View
  11. Artsi Y, Sorin V, Glicksberg B, Nadkarni G, Klang E. Advancing Clinical Practice: The Potential of Multimodal Technology in Modern Medicine. Journal of Clinical Medicine 2024;13(20):6246 View
  12. Marković M, Kato T. Pathological social withdrawal syndrome and the paradox of new technologies. Engrami 2024;(00):8 View
  13. Odiah A, Gosling S. Laying the foundations for using generative AI images in architectural research: do images convey the intended spaces and ambiances?. Architectural Intelligence 2024;3(1) View
  14. Hadar Souval D, Haber Y, Tal A, Simon T, Elyoseph T, Elyoseph Z. Transforming Perceptions: Exploring the Multifaceted Potential of Generative AI for People with Cognitive Disabilities (Preprint). JMIR Neurotechnology 2024 View
  15. Kramer R. Face to face: Comparing ChatGPT with human performance on face matching. Perception 2024 View
  16. Chen D, Liu Y, Guo Y, Zhang Y. The revolution of generative artificial intelligence in psychology: The interweaving of behavior, consciousness, and ethics. Acta Psychologica 2024;251:104593 View
  17. Kolding S, Lundin R, Hansen L, Østergaard S. Use of generative artificial intelligence (AI) in psychiatry and mental health care: a systematic review. Acta Neuropsychiatrica 2024:1 View

Books/Policy Documents

  1. Kaluarachchi B, Sedera D. Integrating AI-Driven Technologies Into Service Marketing. View