Papers
7
Total Citations
159
H-Index
6
About
Xiao Dou is a human-robot interaction researcher whose work centers on the social perception of robots, with a particular focus on how multimodal design cues — including voice, gesture, and lighting — shape users' emotional and social responses to robotic systems. Dou's most influential contribution, "Effects of Different Types of Social Robot Voices on Affective Evaluations in Different Application Fields" (2020, 65 citations), established foundational insights into how vocal design influences the way people emotionally engage with robots across diverse contexts. Building on this, subsequent work explored the interplay between voice characteristics, head-light color, and gesture types, demonstrating that coordinated multimodal cues significantly affect perceived robot personality and role appropriateness. Notably, Dou has paid special attention to vulnerable populations, investigating how older and middle-aged adults respond to home healthcare robots — a socially critical application domain. By systematically studying how design elements must align with occupational roles, Dou's research provides actionable guidance for practitioners designing socially appropriate robots. With a growing body of work accumulating over 150 citations, Dou has emerged as a meaningful voice in the conversation about how thoughtful design can foster more natural and effective human-robot relationships.
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