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

dc.contributor.authorWang, Yan
dc.contributor.examiningcommitteeBunt, Andrea (Computer Science) Prentice, Susan (Sociology)en_US
dc.contributor.supervisorYoung, James E.(Computer Science)en_US
dc.date.accessioned2014-10-28T14:38:44Z
dc.date.available2014-10-28T14:38:44Z
dc.date.issued2014en_US
dc.degree.disciplineComputer Scienceen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractDeveloping 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.en_US
dc.description.noteFebruary 2015en_US
dc.identifier.citationYan Wang and James E. Young. Beyond “Pink” and “Blue": Gendered Attitudes toward Robots in Society In Proceedings of the ACM international conference on Gender and Information Technology (GenderIT 2014), 2014.en_US
dc.identifier.urihttp://hdl.handle.net/1993/24446
dc.language.isoengen_US
dc.publisherAssociation for Computing Machineryen_US
dc.rightsopen accessen_US
dc.subjectgenderen_US
dc.subjectHRIen_US
dc.titleGendering Human-Robot Interaction: exploring how a person's gender impacts attitudes toward and interaction with robotsen_US
dc.typemaster thesisen_US
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