Explores emotion theories, applications, and predictive models in affective computing, analyzing NSF funding trends, emotion impact on education and medicine, and emotion detection through physiological signals and visual data.
Reflects on the challenges of defining intelligence and self-consciousness in the context of AI, exploring ethical implications and the boundaries of artificial entities in society.
