Christopher A. Sanchez
Papers
7
Total Citations
89
H-Index
4
About
Christopher A. Sanchez is a pioneering researcher in human-robot interaction, with a focus on how robot design—from sound and appearance to gender and behavior—shapes human perceptions and social dynamics. His work bridges robotics, psychology, and communication, exploring consequential robot sound and its impact on trust, competence, and value perception. Notably, his 2020 study on telepresence robots in university classrooms (52 citations) compares remote learning technologies, highlighting how these robots can bridge geographic gaps in education. Sanchez also investigates robot comedy and gender bias, finding that apparent gender and embodiment influence humor perception, yet surprisingly, gendered robotic comedians may not trigger expected biases. His research on transformative robot sound demonstrates how subtle audio cues can enhance user experience and willingness to pay, using tools like the Price Sensitivity Meter. With over 90 citations across his most-cited works, Sanchez’s contributions are vital for designing more effective, socially aware robots—whether in classrooms, comedy, or economic games. His work challenges assumptions about robot form and function, offering practical insights for engineers and designers aiming to create robots that are not only functional but also socially integrated and valued.
Research Focus
Key Achievements
Top Papers
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