Kyra Kapsaskis
Papers
3
Total Citations
79
H-Index
3
About
Kyra Kapsaskis investigates the intersection of social robotics, human-robot collaboration, and affective computing. Her research explores how people perceive robots as social agents and how robots can navigate human environments more intelligently. In her highly cited work, "It’s a Match: Task Assignment in Human–Robot Collaboration Depends on Mind Perception" (48 citations), Kapsaskis demonstrates that people’s willingness to assign tasks to robots depends on whether they perceive the robot as having a mind—a finding with profound implications for workplace automation. She also advances emotion-aware navigation, developing real-time algorithms that enable robots to interpret pedestrians’ emotional states from facial expressions and movement patterns, as shown in her papers on emotionally intelligent navigation (17 citations) and multimodal emotion learning for socially-assistive robots (14 citations). By integrating Bayesian inference, deep learning, and psychological theories of person-job fit, Kapsaskis bridges technical robotics with human-centered design. Her work is shaping how robots can collaborate safely and empathetically in crowded, dynamic environments, making her a leading voice in creating robots that are not just functional but socially perceptive.
Research Focus
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Top Papers
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