Gendering Human-Robot Interaction: exploring how a person's gender impacts attitudes toward and interaction with robots

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Abstract

Developing an improved understanding and awareness of how gender impacts perceptions of robots and interactions with them is crucial for the ongoing advancement of the human-robot interaction (HRI) field, as a lack of awareness of gender issues increases the risk of robot rejection and poor performance. This thesis provides a theoretical grounding for gender-studies in HRI, and contributes to the understanding of how gender affects attitudes toward and interaction with robots via the findings from an on-line survey and a laboratory user study. We envision that this work will provide HRI designers with a foundation and exemplary account of how gender can influence attitudes toward and interaction with robots, serving as a resource and a sensitizing discussion for gender studies in HRI.

Publisher Link

http://hdl.handle.net/1993/24446

Citation

Yan Wang. Gendering Human-Robot Interaction: exploring how a person's gender impacts attitudes toward and interaction with robots. M.Sc. Thesis (2014). University of Manitoba, Canada.

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