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Human Security Robot Interaction and Anthropomorphism

dc.contributor.authorYe, Xin
dc.contributor.advisorRobert, Lionel P
dc.date.accessioned2023-07-15T19:01:50Z
dc.date.issued2023
dc.date.submitted2023-04-30
dc.identifier.urihttps://hdl.handle.net/2027.42/177314
dc.description.abstractThe rapid growth in the use of security robots makes it critical to understand human interaction with them. This study investigated the impacts of the anthropomorphic nature of robot types and interaction scenarios on human-security robot interaction through a 3 × 2 between-subjects experiment with 60 participants. Participants were randomly assigned to interact with one of three security robots (Knightscope, RAMSEE, or Pepper) in either an indoor hallway or an outdoor parking lot scenario. Results indicate that there were significant differences between the Pepper robot and the Knightscope robot. The human-like robot Pepper was rated higher with regard to anthropomorphism, ability, integrity, and participants’ desire to use than the mechanical-type robot Knightscope. However, no such significant differences were found with the character-like robot RAMSEE. Contrary to the author’s hypothesis, the interaction scenario did not influence participants’ acceptance or perceptions of the robots. These findings offer valuable insights for the future design and deployment of security robots.en_US
dc.language.isoen_USen_US
dc.subjectHuman-robot acceptanceen_US
dc.subjectAnthropomorphismen_US
dc.subjectSecurity robotsen_US
dc.subjectHuman-robot interactionen_US
dc.subjectUMSI Master's Thesisen_US
dc.subjectMTOPen_US
dc.subject.othersocial scienceen_US
dc.subject.otherinformation scienceen_US
dc.titleHuman Security Robot Interaction and Anthropomorphismen_US
dc.typeThesis
dc.description.thesisdegreenameMaster of Science in Information (MSI)en_US
dc.description.thesisdegreedisciplineSchool of Informationen_US
dc.description.thesisdegreegrantorUniversity of Michiganen_US
dc.contributor.committeememberMarcu, Gabriela
dc.contributor.committeememberEsterwood, Conner
dc.identifier.uniqnameXINYEen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/177314/1/Ye_HumanSecurityRobotInteractionandAnthropomorphism_2023.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/7913
dc.description.filedescriptionDescription of Ye_HumanSecurityRobotInteractionandAnthropomorphism_2023.pdf : Ye - Main File for Final Master's Thesis
dc.working.doi10.7302/7913en_US
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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