Publications

Detailed Information

Development of a Comprehensive Design Guideline to Evaluate the User Experiences of Meal-Assistance Robots considering Human-Machine Social Interactions

DC Field Value Language
dc.contributor.authorKim, Hyun K.-
dc.contributor.authorJeong, Heejin-
dc.contributor.authorPark, Jangwoon-
dc.contributor.authorPark, Jaehyun-
dc.contributor.authorKim, Won-Seok-
dc.contributor.authorKim, Nahyeong-
dc.contributor.authorPark, Subin-
dc.contributor.authorPaik, Nam-Jong-
dc.date.accessioned2022-06-24T08:26:28Z-
dc.date.available2022-06-24T08:26:28Z-
dc.date.created2022-05-19-
dc.date.issued2022-01-
dc.identifier.citationInternational Journal of Human-Computer Interaction-
dc.identifier.issn1044-7318-
dc.identifier.urihttps://hdl.handle.net/10371/184060-
dc.description.abstract© 2022 Taylor & Francis Group, LLC.Meal-assistance robots (MARs) help feed meals to users with disabilities or who need help consuming their meals. Although such MARs have been introduced in various fields, guidelines for evaluating MARs are limited. This study aims to develop comprehensive guidelines to assess the user experience (UX) of MAR designs considering its social interaction characteristics between humans and robots. Participants from three groups (patients, doctors, and caregivers) with different perspectives on MARs were recruited and a focus group interview was conducted to collect their UXs with MARs. The three groups showed different UXs with MARs in user interface design, robot arm motion, and safety and mobility. In addition, based on the literature review, eight UX features (usability, emotion, value, naturalness, assistance, acceptance, personality, and culture) are proposed to evaluate MAR interfaces. The proposed comprehensive design guideline will be particularly useful in evaluating and designing the UX of MARs.-
dc.language영어-
dc.publisherLawrence Erlbaum Associates Inc.-
dc.titleDevelopment of a Comprehensive Design Guideline to Evaluate the User Experiences of Meal-Assistance Robots considering Human-Machine Social Interactions-
dc.typeArticle-
dc.identifier.doi10.1080/10447318.2021.2009672-
dc.citation.journaltitleInternational Journal of Human-Computer Interaction-
dc.identifier.wosid000741204900001-
dc.identifier.scopusid2-s2.0-85122724043-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorKim, Won-Seok-
dc.contributor.affiliatedAuthorPark, Subin-
dc.contributor.affiliatedAuthorPaik, Nam-Jong-
dc.type.docTypeArticle-
dc.description.journalClass1-
Appears in Collections:
Files in This Item:
There are no files associated with this item.

Altmetrics

Item View & Download Count

  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Share