Michael R. Brandt
Papers
2
Total Citations
23
H-Index
2
About
Michael R. Brandt is a researcher in human-robot interaction, with a focus on social robotics and user acceptance. His work explores how the design and behavior of robots influence human perception, particularly among elderly users. In his most-cited paper, "The Influence of a Social Robot’s Persona on How it is Perceived and Accepted by Elderly Users" (2016, 21 citations), Brandt investigates how different robot personas affect trust and engagement in aging populations—a critical area as robotics becomes more integrated into care settings. He also pioneers novel applications of social robots in entertainment, as seen in "Follow the White Robot - A Role-Playing Game with a Robot Game Master" (2018), where he describes a robot that acts as a game master in an interactive tabletop role-playing game. This work demonstrates innovative software and hardware integration, allowing the robot to embody multiple characters and narrate adventures. Brandt’s research bridges technical development and user-centered design, contributing to more intuitive and accepted robotic systems. His work is particularly relevant for students and researchers interested in socially assistive robotics, human-robot trust, and the gamification of human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 2Follow the White Robot - A Role-Playing Game with a Robot Game Master2 citations · 2018