Designing Healthcare Robots at Home for Older Adults: A Kano Model Perspective
dc.contributor.author | Zhang, Qiaoning | |
dc.contributor.author | Zhou, Feng | |
dc.contributor.author | Robert, Lionel + "Jr" | |
dc.contributor.author | Yang, X. Jessie | |
dc.date.accessioned | 2024-01-18T18:10:16Z | |
dc.date.available | 2024-01-18T18:10:16Z | |
dc.date.issued | 2024-01-18 | |
dc.identifier.citation | Qiaoning Zhang, Feng Zhou, Lionel P. Robert Jr., and X. Jessie Yang. 2024. Designing Healthcare Robots at Home for Older Adults: A Kano Model Perspective. In Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’24 Companion), March 11–14, 2024, Boulder, CO, USA. ACM, New York, NY, USA, | en_US |
dc.identifier.uri | https://doi.org/10.1145/3610978.3640599 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/192071 | en |
dc.description.abstract | Healthcare robots at home are increasingly essential for promoting the independence of older adults, yet their widespread acceptance is hindered by a lack of clarity regarding optimal design features. To address this, this study employs the Kano model to systematically identify and prioritize the features of healthcare robots that most significantly influence user satisfaction and acceptance among older adults. We conducted a survey study with 253 U.S. older adults to evaluate a variety of robot features. The results highlight design features that markedly affect user satisfaction and acceptance. ‘Medication Management’ and ‘Managing Illness and Monitoring Health’ are identified as one-dimensional features, whereas ‘Animal-like Appearance’ is a less favored reverse feature, potentially diminishing satisfaction. ‘Housework’ along with seven other features, is recognized as attractive, with sixteen features deemed indifferent. | en_US |
dc.description.sponsorship | Agency for Healthcare Research and Quality under grant no. R18 HS028963-01. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | HRI 2024 | en_US |
dc.subject | Healthcare robots | en_US |
dc.subject | older adults | en_US |
dc.subject | Kano model | en_US |
dc.subject | Medication Management’ | en_US |
dc.subject | Managing Illness | en_US |
dc.subject | Monitoring Health | en_US |
dc.subject | Animal-like Appearance Robots | en_US |
dc.subject | home robots | en_US |
dc.subject | human-robot interactions | en_US |
dc.subject | healthcare | en_US |
dc.subject | satisfaction | en_US |
dc.subject | acceptance | en_US |
dc.subject | customer satisfaction | en_US |
dc.title | Designing Healthcare Robots at Home for Older Adults: A Kano Model Perspective | 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 | College of Engineering | en_US |
dc.contributor.affiliationum | Robotics | en_US |
dc.contributor.affiliationum | Industrial and Operations Engineering | en_US |
dc.contributor.affiliationum | Industrial and Manufacturing Systems Engineering | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/192071/1/Zhang et al. 2024 LBR.pdf | |
dc.identifier.doi | 10.1145/3610978.3640599 | |
dc.identifier.doi | https://dx.doi.org/10.7302/22071 | |
dc.identifier.source | 2024 ACM/IEEE International Conference on Human-Robot Interaction | en_US |
dc.identifier.orcid | 0000-0002-1410-2601 | en_US |
dc.description.filedescription | Description of Zhang et al. 2024 LBR.pdf : Published version | |
dc.description.depositor | SELF | en_US |
dc.identifier.name-orcid | Robert, Lionel P.; 0000-0002-1410-2601 | en_US |
dc.working.doi | 10.7302/22071 | en_US |
dc.owningcollname | Information, School of (SI) |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.