Capacity of Generative AI to Interpret Human Emotions From Visual and Textual Data: Pilot Evaluation Study.
Zohar ElyosephElad RefouaKfir AsrafMaya LvovskyYoav ShimoniDorit Hadar-ShovalPublished in: JMIR mental health (2024)
ChatGPT-4 proved its efficacy in the domain of visual mentalizing, aligning closely with human performance standards. Although both models displayed commendable acumen in textual emotion interpretation, Bard's capabilities in visual emotion interpretation necessitate further scrutiny and potential refinement. This study stresses the criticality of ethical AI development for emotional recognition, highlighting the need for inclusive data, collaboration with patients and mental health experts, and stringent governmental oversight to ensure transparency and protect patient privacy.