Kevin Vetter
Papers
1
Total Citations
24
H-Index
1
About
Kevin Vetter is a researcher whose work sits at the compelling intersection of human-robot interaction and entertainment technology. His most-cited study, "Robot vs. Voice Assistant" (2020, 24 citations), investigates whether the entertainment value of a robot during a game stems from the physical embodiment itself or simply the voice interaction experience. By comparing a robot to a standard voice assistant, Vetter's work challenges assumptions about why we find robots engaging, suggesting that the "wow factor" of a physical body may be less critical than the quality of the interaction. This contribution is significant for designers of social robots and entertainment systems, as it reframes the focus from hardware to software and conversational design. Vetter's research offers a nuanced perspective on user experience, helping to clarify what truly drives enjoyment in human-robot encounters. For students and researchers in human-robot interaction, his work is a key reference for understanding the role of embodiment in user engagement and for designing more effective, enjoyable robotic companions.
Research Focus
Key Achievements
Top Papers
- 1Robot vs. Voice Assistant24 citations · 2020