Papers
15
Total Citations
607
H-Index
10
About
Jesse Hoey is a pioneering researcher at the intersection of artificial intelligence, human-computer interaction, and assistive robotics, with particular expertise in affective computing, socially intelligent systems, and care technologies for vulnerable populations. His influential 2013 survey on body movements for affective expression (217 citations) established a foundational reference for the field, systematically mapping how computational models can recognize and generate emotion-laden motion in virtual agents and robots. Hoey has made significant contributions to rehabilitation robotics, developing adaptive upper-limb stroke rehabilitation systems that harness machine learning to personalize patient recovery. A recurring thread throughout his work is the application of decision-theoretic frameworks — including Partially Observable Markov Decision Processes and Affect Control Theory — to model and predict human behavior from video data. More recently, Hoey has turned his attention to social robotics for aging and dementia care, producing highly cited reviews and user-centered studies that critically assess how robots can enhance independence, reduce caregiver burden, and foster social engagement among older adults. His research on social norms in human-robot interaction further reflects his commitment to designing ethically grounded, socially aware AI systems that genuinely serve human needs.
Research Focus
Key Achievements
Top Papers
- 1
- 2Social Robots for the Care of Persons with Dementia99 citations · 2021
- 3
- 4
- 5Waiting with Jose, a vision-based mobile robot31 citations · 2003
- 6
- 7Value directed learning of gestures and facial displays20 citations · 2004
- 8The Role of Social Norms in Human–Robot Interaction: A Systematic Review14 citations · 2025
- 9
- 10Socially Interactive Agents for Supporting Aging10 citations · 2022