Hailey Mah
Papers
1
Total Citations
14
H-Index
1
About
Hailey Mah is a researcher at the forefront of human-robot interaction, with a focus on designing emotionally expressive robots that align with the complexities of real-world human affect. Her most-cited work, “Real Emotions Don’t Stand Still: Toward Ecologically Viable Representation of Affective Interaction” (2019, 14 citations), critically examines how emotion theories—such as Russell’s circumplex model—are translated into tools for estimating and analyzing human emotional responses to robot behavior. Mah argues that static, simplified models often fail to capture the dynamic, context-dependent nature of genuine emotional interaction, advocating for more ecologically valid approaches. This contribution challenges the field to move beyond rigid frameworks, pushing for designs that reflect the fluidity of human affect. Her work has implications for creating robots that respond more naturally and empathetically in settings like healthcare, education, and social companionship. By bridging psychology and robotics, Mah’s research underscores the importance of nuanced emotional representation, inspiring a shift toward more adaptive and human-centered robotic systems.
Research Focus
Key Achievements
Top Papers
- 1