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Human, Machine, or Hybrid? Using Anthropomorphism to Conceptualize Trust in Robots

dc.contributor.authorBhatti, Samia
dc.contributor.authorRobert, Lionel + "Jr"
dc.date.accessioned2023-04-28T17:39:02Z
dc.date.available2023-04-28T17:39:02Z
dc.date.issued2023-04-28
dc.identifier.citationBhatti, S., and Robert, L. P. (2023). Human, Machine, or Hybrid? Using Anthropomorphism to Conceptualize Trust in Robots, Proceedings of the 26th Americas Conference on Information Systems, (AMCIS 2023), Aug 10-12, Panama City, Panama.en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/176229en
dc.description.abstractWhile robots appear to be more and more human-like in form and function, they are still machines. People can hence perceive them as humans or machines. With varying human-like designs and user perceptions, there is much confusion about how to measure trust in human-robot relationships. While some researchers use human-like trusting beliefs to conceptualize trust, others use machine-like trusting beliefs to do the same. In this paper, we present a conceptual model and related research propositions to help researchers determine the correct conceptualization of trust for human-robot interaction. We propose that anthropomorphism, or perceptions of humanness about the robot, can dictate the conceptualization of trust in human-robot relationships.en_US
dc.language.isoen_USen_US
dc.publisherAMCIS 2023en_US
dc.subjectHuman-Robot Interactionen_US
dc.subjectRobotsen_US
dc.subjectRoboticsen_US
dc.subjectHumanoiden_US
dc.subjectHumanoid Trusten_US
dc.subjectTrusten_US
dc.subjectAnthropomorphismen_US
dc.subjectUncanny Valleyen_US
dc.subjecthuman-robot relationshipsen_US
dc.subjectRobot trusten_US
dc.subjectHumanoid Robotsen_US
dc.subjecthuman-machine trusten_US
dc.titleHuman, Machine, or Hybrid? Using Anthropomorphism to Conceptualize Trust in Robotsen_US
dc.typeConference Paperen_US
dc.subject.hlbsecondlevelInformation Science
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumInformation, School ofen_US
dc.contributor.affiliationumRobotics Instituteen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176229/1/Cornelius and Robert 2023 Accepted.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/7168
dc.identifier.sourceProceeding of the Twenty-ninth Americas Conference on Information Systemsen_US
dc.identifier.orcid0000-0002-1410-2601en_US
dc.description.filedescriptionDescription of Cornelius and Robert 2023 Accepted.pdf : Preprint
dc.description.depositorSELFen_US
dc.identifier.name-orcidRobert, Lionel P.; 0000-0002-1410-2601en_US
dc.working.doi10.7302/7168en_US
dc.owningcollnameInformation, School of (SI)


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