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"Would I Feel More Secure With a Robot?": Understanding Perceptions of Security Robots in Public Spaces

dc.contributor.authorMarcu, G
dc.contributor.authorLin, I
dc.contributor.authorWilliams, B
dc.contributor.authorRobert, LP
dc.contributor.authorSchaub, F
dc.date.accessioned2024-01-15T13:16:52Z
dc.date.available2024-01-15T13:16:52Z
dc.date.issued2023-10-04
dc.identifier.issn2573-0142
dc.identifier.issn2573-0142
dc.identifier.urihttps://hdl.handle.net/2027.42/192039
dc.description.abstractRobots are increasingly being deployed as security agents helping law enforcement in spaces such as streets, parks, or shopping malls. Unfortunately, the deployment of security robots is not without problems and controversies. For example, the New York Police Department canceled its contract with Boston Dynamics in response to backlash from their use of Digidog, an autonomous robotic dog, which sparked fears in the public. However, it is unclear to what extent affected communities have been involved in the design and deployment process of robots. This is problematic because, without input from community members in the processes of design and deployment, security robots are likely to not satisfy the concerns or safety needs of real communities. To gain deeper insight into people's perceptions of security robots - including both potential benefits and concerns - we conducted 17 semi-structured interviews addressing the following research questions: RQ1. What characteristics do people ascribe to security robots? RQ2. What expectations do people have about the function and role of security robots? RQ3. What are people's attitudes toward the use of security robots? Our study offers several contributions to the existing literature on security robots.
dc.languageen
dc.publisherAssociation for Computing Machinery (ACM)
dc.subject46 Information and Computing Sciences
dc.subject4608 Human-Centred Computing
dc.subjectGeneric health relevance
dc.title"Would I Feel More Secure With a Robot?": Understanding Perceptions of Security Robots in Public Spaces
dc.typeArticle
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/192039/2/Marcu et al. 2023 (Published).pdf
dc.identifier.doi10.1145/3610171
dc.identifier.doihttps://dx.doi.org/10.7302/22040
dc.identifier.sourceProceedings of the ACM on Human-Computer Interaction
dc.description.versionPublished version
dc.date.updated2024-01-15T13:16:44Z
dc.identifier.orcid0000-0001-7150-5784
dc.identifier.orcid0009-0007-8276-5988
dc.identifier.orcid0009-0003-2972-2699
dc.identifier.orcid0000-0002-1410-2601
dc.identifier.orcid0000-0003-1039-7155
dc.description.filedescriptionDescription of Marcu et al. 2023 (Published).pdf : Published version
dc.identifier.volume7
dc.identifier.issueCSCW2
dc.identifier.startpage1
dc.identifier.endpage34
dc.identifier.name-orcidMarcu, G; 0000-0001-7150-5784
dc.identifier.name-orcidLin, I; 0009-0007-8276-5988
dc.identifier.name-orcidWilliams, B; 0009-0003-2972-2699
dc.identifier.name-orcidRobert, LP; 0000-0002-1410-2601
dc.identifier.name-orcidSchaub, F; 0000-0003-1039-7155
dc.working.doi10.7302/22040en
dc.owningcollnameInformation, School of (SI)


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