Do You Still Trust Me? Human-Robot Trust Repair Strategies
dc.contributor.author | Esterwood, Connor | |
dc.contributor.author | Robert, Lionel Jr | |
dc.date.accessioned | 2021-07-14T17:13:48Z | |
dc.date.available | 2021-07-14T17:13:48Z | |
dc.date.issued | 2021-07-14 | |
dc.identifier.citation | Esterwood, C. and Robert, L. P. (2021). Do You Still Trust Me? Human-Robot Trust Repair Strategies, Proceedings of 30th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2021), Aug 08 - Aug 12, 2021. Online Virtual Conference (originally in Vancouver, BC, Canada). | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/168396 | en |
dc.identifier.uri | https://doi.org/10.1109/RO-MAN50785.2021.9515365 | |
dc.description.abstract | Trust is vital to promoting human and robot collaboration, but like human teammates, robots make mistakes that undermine trust. As a result, a human’s perception of his or her robot teammate’s trustworthiness can dramatically decrease. Trustworthiness consists of three distinct dimensions: ability (i.e. competency), benevolence (i.e. concern for the trustor) and integrity (i.e. honesty). Taken together, decreases in trustworthiness decreases trust in the robot. To address this, we conducted a 2 (high vs. low anthropomorphism) x 4 (trust repair strategies) between-subjects experiment. Preliminary results of the first 164 participants (between 19 and 24 per cell) highlight which repair strategies are effective relative to ability, integrity and benevolence and the robot’s anthropomorphism. Overall, this paper contributes to the HRI trust repair literature. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | IEEE RO-MAN 2021 | en_US |
dc.subject | human and robot collaboration | en_US |
dc.subject | human robot collaboration | en_US |
dc.subject | human-robot interaction | en_US |
dc.subject | trust repair | en_US |
dc.subject | trust repair strategies | en_US |
dc.subject | anthropomorphism | en_US |
dc.subject | robot trust | en_US |
dc.subject | robot teammate’s trustworthiness | en_US |
dc.subject | human robot teaming | en_US |
dc.subject | teamwork trust | en_US |
dc.subject | Human-Robot Trust | en_US |
dc.subject | Humans and robots | en_US |
dc.subject | Trustworthiness and human-robot interaction | en_US |
dc.subject | trust repair and human-robot interaction | en_US |
dc.subject | robot intelligence | en_US |
dc.subject | robot anthropomorphism | en_US |
dc.subject | artificial intelligence | en_US |
dc.subject | robotics | en_US |
dc.subject | human teammates robots | en_US |
dc.subject | Trustworthiness and Anthropomorphism | en_US |
dc.subject | repairing trust in human-robot interaction | en_US |
dc.subject | human computer interaction | en_US |
dc.subject | social computing | en_US |
dc.subject | collaboration | en_US |
dc.subject | computer supported collaborative work | en_US |
dc.subject | workt teams | en_US |
dc.subject | future of work | en_US |
dc.subject | teamwork with robots | en_US |
dc.subject | human robot teams | en_US |
dc.title | Do You Still Trust Me? Human-Robot Trust Repair Strategies | 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/2027.42/168396/1/Esterwood and Robert 2021.pdf | |
dc.identifier.doi | https://dx.doi.org/10.7302/1675 | |
dc.identifier.doi | 10.1109/RO-MAN50785.2021.9515365 | |
dc.identifier.source | IEEE RO-MAN 2021 | en_US |
dc.identifier.orcid | 0000-0002-1410-2601 | en_US |
dc.description.filedescription | Description of Esterwood and Robert 2021.pdf : Preprint | |
dc.description.depositor | SELF | en_US |
dc.identifier.name-orcid | Robert, Lionel P.; 0000-0002-1410-2601 | en_US |
dc.working.doi | 10.7302/1675 | en_US |
dc.owningcollname | Information, School of (SI) |
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