Hannah Mieczkowski
Papers
1
Total Citations
48
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1
About
Hannah Mieczkowski is a leading researcher at the intersection of social psychology and human-robot interaction. Her work primarily explores how people perceive and respond to social robots, drawing on established psychological frameworks to understand these emerging relationships. Her most influential contribution, the 2019 paper "Helping Not Hurting: Applying the Stereotype Content Model and BIAS Map to Social Robotics" (48 citations), demonstrates how classic models of social perception—specifically the dimensions of warmth and competence—can be applied to our impressions of robots. By having participants evaluate 342 different social robots, Mieczkowski showed that people's emotional reactions and behavioral tendencies toward robots are shaped by the same stereotypes that govern human social interactions. This work provides a critical theoretical foundation for designing robots that elicit trust and cooperation rather than fear or avoidance. Her research has significant implications for the ethical development of social robotics, ensuring that as these technologies become more prevalent, they are designed to foster positive, helpful interactions rather than harmful ones.
Research Focus
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