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dc.contributor.authorLutz, Christoph
dc.contributor.authorTamò-Larrieux, Aurelia
dc.date.accessioned2020-02-10T13:26:12Z
dc.date.available2020-02-10T13:26:12Z
dc.date.created2019-10-02T11:37:58Z
dc.date.issued2020
dc.identifier.citationHuman-Machine Communication Journal (HMC). 2020, 1 (1), 87-111.nb_NO
dc.identifier.issn2638-602X
dc.identifier.urihttp://hdl.handle.net/11250/2640785
dc.description.abstractConceptual research on robots and privacy has increased but we lack empirical evidence about the prevalence, antecedents, and outcomes of different privacy concerns about social robots. To fill this gap, we present a survey, testing a variety of antecedents from trust, technology adoption, and robotics scholarship. Respondents are most concerned about data protection on the manufacturer side, followed by social privacy concerns and physical concerns. Using structural equation modeling, we find a privacy paradox, where the perceived benefits of social robots override privacy concerns.nb_NO
dc.language.isoengnb_NO
dc.titleThe Robot Privacy Paradox: Understanding How Privacy Concerns Shape Intentions to Use Social Robotsnb_NO
dc.typeJournal articlenb_NO
dc.description.versionpublishedVersionnb_NO
dc.rights.holderThis Article is brought to you for free and open access by STARS. It has been accepted for inclusion in HumanMachine Communication by an authorized editor of STARS. For more information, please contact lee.dotson@ucf.edu.nb_NO
dc.source.pagenumber87-111nb_NO
dc.source.volume1nb_NO
dc.source.journalHuman-Machine Communication Journal (HMC)nb_NO
dc.source.issue1nb_NO
dc.identifier.doi10.30658/hmc.1.6
dc.identifier.cristin1732951
dc.relation.projectNorges forskningsråd: 247725nb_NO
dc.relation.projectNorges forskningsråd: 275347nb_NO
cristin.unitcode158,9,0,0
cristin.unitnameInstitutt for kommunikasjon og kultur
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode0


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