Show simple item record

dc.contributor.advisorWilliams, Thomas
dc.contributor.authorNaughton, Aidan T.
dc.date.accessioned2021-06-28T10:13:45Z
dc.date.accessioned2022-02-03T13:24:27Z
dc.date.available2021-06-28T10:13:45Z
dc.date.available2022-02-03T13:24:27Z
dc.date.issued2021
dc.identifierNaughton_mines_0052N_12165.pdf
dc.identifierT 9127
dc.identifier.urihttps://hdl.handle.net/11124/176420
dc.descriptionIncludes bibliographical references.
dc.description2021 Spring.
dc.description.abstractAs the capabilities of robots have increased over recent years, more robots are being introduced to society as "social robots." Social robots harbor the ability to communicate with their human counterparts in order to complete a task. Because of this, social robots need to be able to observe the same ethical and social norms that humans do - lest they inadvertently defy those norms. To this end, a social robot may even be required to deny a problematic command issued to it on moral grounds. Previous work has demonstrated the importance of carefully tuning the severity of command rejections in the effort of saving face with the commanding entity. However, previous work has not considered the subtle communication that body language has to offer. Body language, specifically gaze and gesture, are important modes of communication in human-human interaction, and have been demonstrated to be just as important in human-robot interaction. As such, we posit that robotic gaze and gesture must be carefully chosen with respect to vocal phrasing when rejecting a command. We present a series of human-subjects experiments in which robotic gaze, gesture, and vocal phrasing are varied when rejecting commands of differing severity.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado School of Mines. Arthur Lakes Library
dc.relation.ispartof2021 - Mines Theses & Dissertations
dc.rightsCopyright of the original work is retained by the author.
dc.subjectcommand rejection
dc.subjectHRI
dc.subjectbody language
dc.subjectrobotic noncompliance
dc.subjectface threat
dc.titleExploring the effectiveness of body language in mitigating the face threat of robot noncompliance
dc.typeText
dc.contributor.committeememberZhang, Hao
dc.contributor.committeememberHoff, William A.
thesis.degree.nameMaster of Science (M.S.)
thesis.degree.levelMasters
thesis.degree.disciplineComputer Science
thesis.degree.grantorColorado School of Mines


Files in this item

Thumbnail
Name:
Naughton_mines_0052N_12165.pdf
Size:
443.3Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record