Human, Machine, or Hybrid? Using Anthropomorphism to Conceptualize Trust in Robots
dc.contributor.author | Bhatti, Samia | |
dc.contributor.author | Robert, Lionel + "Jr" | |
dc.date.accessioned | 2023-04-28T17:39:02Z | |
dc.date.available | 2023-04-28T17:39:02Z | |
dc.date.issued | 2023-04-28 | |
dc.identifier.citation | Bhatti, 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.uri | https://hdl.handle.net/2027.42/176229 | en |
dc.description.abstract | While 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.iso | en_US | en_US |
dc.publisher | AMCIS 2023 | en_US |
dc.subject | Human-Robot Interaction | en_US |
dc.subject | Robots | en_US |
dc.subject | Robotics | en_US |
dc.subject | Humanoid | en_US |
dc.subject | Humanoid Trust | en_US |
dc.subject | Trust | en_US |
dc.subject | Anthropomorphism | en_US |
dc.subject | Uncanny Valley | en_US |
dc.subject | human-robot relationships | en_US |
dc.subject | Robot trust | en_US |
dc.subject | Humanoid Robots | en_US |
dc.subject | human-machine trust | en_US |
dc.title | Human, Machine, or Hybrid? Using Anthropomorphism to Conceptualize Trust in Robots | en_US |
dc.type | Conference Paper | en_US |
dc.subject.hlbsecondlevel | Information Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Information, School of | en_US |
dc.contributor.affiliationum | Robotics Institute | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/176229/1/Cornelius and Robert 2023 Accepted.pdf | |
dc.identifier.doi | https://dx.doi.org/10.7302/7168 | |
dc.identifier.source | Proceeding of the Twenty-ninth Americas Conference on Information Systems | en_US |
dc.identifier.orcid | 0000-0002-1410-2601 | en_US |
dc.description.filedescription | Description of Cornelius and Robert 2023 Accepted.pdf : Preprint | |
dc.description.depositor | SELF | en_US |
dc.identifier.name-orcid | Robert, Lionel P.; 0000-0002-1410-2601 | en_US |
dc.working.doi | 10.7302/7168 | en_US |
dc.owningcollname | Information, School of (SI) |
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