Development of a comprehensive design guideline to evaluate the user experiences of meal-assistance robots considering human-machine social interactions

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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.creator.orcidhttps://orcid.org/0000-0002-0122-532Xen_US
dc.creator.orcidhttps://orcid.org/0000-0002-3758-2281en_US
dc.creator.orcidhttps://orcid.org/0000-0002-5264-6941en_US
dc.creator.orcidhttps://orcid.org/0000-0002-1199-5707en_US
dc.creator.orcidhttps://orcid.org/0000-0001-5438-3359en_US
dc.creator.orcidhttps://orcid.org/0000-0002-5193-8678en_US
dc.creator.orcidhttps://orcid.org/0000-0002-0122-532X
dc.creator.orcidhttps://orcid.org/0000-0002-3758-2281
dc.creator.orcidhttps://orcid.org/0000-0002-5264-6941
dc.creator.orcidhttps://orcid.org/0000-0002-1199-5707
dc.creator.orcidhttps://orcid.org/0000-0001-5438-3359
dc.creator.orcidhttps://orcid.org/0000-0002-5193-8678
dc.date.accessioned2022-04-11T15:00:14Z
dc.date.available2022-04-11T15:00:14Z
dc.date.issued2022-01-10
dc.description.abstractMeal-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.en_US
dc.description.abstractMeal-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.description.sponsorshipThis work was supported by the Technology Innovation Program (or Industrial Strategic Technology Development Program (20005096, Development of intelligent meal assistant robot with easy installation for the elderly and disabled) funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea). Also, this work was supported by Incheon National University Research Grant in 2020 (Grant No.: 20200395).en_US
dc.description.sponsorshipThis work was supported by the Technology Innovation Program (or Industrial Strategic Technology Development Program (20005096, Development of intelligent meal assistant robot with easy installation for the elderly and disabled) funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea). Also, this work was supported by Incheon National University Research Grant in 2020 (Grant No.: 20200395).
dc.identifier.citationKim, H.K., Jeong, H., Park, J., Park, J., Kim, W.S., Kim, N., Park, S. and Paik, N.J., 2022. Development of a Comprehensive Design Guideline to Evaluate the User Experiences of Meal-Assistance Robots considering Human-Machine Social Interactions. International Journal of Human–Computer Interaction, pp.1-14.en_US
dc.identifier.citationKim, H.K., Jeong, H., Park, J., Park, J., Kim, W.S., Kim, N., Park, S. and Paik, N.J., 2022. Development of a Comprehensive Design Guideline to Evaluate the User Experiences of Meal-Assistance Robots considering Human-Machine Social Interactions. International Journal of Human–Computer Interaction, pp.1-14.
dc.identifier.doihttps://doi.org/10.1080/10447318.2021.2009672
dc.identifier.urihttps://hdl.handle.net/1969.6/90421
dc.language.isoen_USen_US
dc.language.isoen_US
dc.publisherTaylor and Francis Onlineen_US
dc.publisherTaylor and Francis Online
dc.rightsAttribution 4.0 International*
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectdesignen_US
dc.subjecthuman-machine social interactionsen_US
dc.subjectuser experienceen_US
dc.subjectrobotsen_US
dc.subjectdesign
dc.subjecthuman-machine social interactions
dc.subjectuser experience
dc.subjectrobots
dc.titleDevelopment of a comprehensive design guideline to evaluate the user experiences of meal-assistance robots considering human-machine social interactionsen_US
dc.titleDevelopment of a comprehensive design guideline to evaluate the user experiences of meal-assistance robots considering human-machine social interactions
dc.typeArticleen_US
dc.typeArticle

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