Jennifer Healey

Papers

Total Citations

H-Index

About

Jennifer Healey is a pioneering researcher at the forefront of affective computing, a field that bridges artificial intelligence with social and behavioral science to understand and simulate human emotions. Her work fundamentally explores how emotions are perceived and expressed, informing the design of intelligent systems that can mimic and respond to human affect. In her highly cited 2022 work, *Applied Affective Computing* (23 citations), Healey provides a foundational framework for this nascent discipline, outlining how emotional data can be integrated into AI to create more empathetic and responsive technologies. She has also contributed to the advancement of emotion-aware human–robot interaction and social robots, co-authoring a key chapter on the subject in 2022. Through her research, Healey is shaping the future of human-computer interaction, enabling machines to not only recognize but also appropriately react to human emotional states. Her contributions are critical for developing next-generation social robots and intelligent agents that can operate with greater social intelligence, making technology more intuitive and human-centered.