Dominik Battefeld
Papers
1
Total Citations
3
H-Index
1
About
Dominik Battefeld is a researcher at the intersection of human-robot interaction, social robotics, and health communication. His work explores how social robots can serve as persuasive agents in public spaces, particularly for promoting adherence to health regulations such as mask-wearing and social distancing during pandemics. Battefeld’s most cited study, "Testing the Elaboration Likelihood Model of Persuasion on the Acceptance of Health Regulations in a Video Human-Robot Interaction Study" (2021), applies the Elaboration Likelihood Model (ELM) to understand how individuals process persuasive messages delivered by robots. This work demonstrates that robots can effectively guide public behavior, potentially reducing infection risks for public order personnel. With 3 citations, this foundational study contributes to the growing field of robotic persuasion and public health compliance. Battefeld’s research highlights the practical applications of social robots as assistive tools in crisis management, bridging psychology, robotics, and public policy. His findings offer valuable insights for designing robots that can influence human behavior in high-stakes environments, making him a notable voice in socially assistive robotics.
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Top Papers
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