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User perspectives on emotionally aligned social robots for older adults and persons living with dementia
INTRODUCTION: Socially assistive robots are devices designed to aid users through social interaction and companionship. Social robotics promise to support cognitive health and aging in place for older adults with and without dementia, as well as their care partners. However, while new and more advan...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248047/ https://www.ncbi.nlm.nih.gov/pubmed/35782883 http://dx.doi.org/10.1177/20556683221108364 |
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author | Dosso, Jill A Bandari, Ela Malhotra, Aarti Guerra, Gabriella K Hoey, Jesse Michaud, François Prescott, Tony J Robillard, Julie M |
author_facet | Dosso, Jill A Bandari, Ela Malhotra, Aarti Guerra, Gabriella K Hoey, Jesse Michaud, François Prescott, Tony J Robillard, Julie M |
author_sort | Dosso, Jill A |
collection | PubMed |
description | INTRODUCTION: Socially assistive robots are devices designed to aid users through social interaction and companionship. Social robotics promise to support cognitive health and aging in place for older adults with and without dementia, as well as their care partners. However, while new and more advanced social robots are entering the commercial market, there are still major barriers to their adoption, including a lack of emotional alignment between users and their robots. Affect Control Theory (ACT) is a framework that allows for the computational modeling of emotional alignment between two partners. METHODS: We conducted a Canadian online survey capturing attitudes, emotions, and perspectives surrounding pet-like robots among older adults (n = 171), care partners (n = 28), and persons living with dementia (n = 7). RESULTS: We demonstrate the potential of ACT to model the emotional relationship between older adult users and three exemplar robots. We also capture a rich description of participants’ robot attitudes through the lens of the Technology Acceptance Model, as well as the most important ethical concerns around social robot use. CONCLUSIONS: Findings from this work will support the development of emotionally aligned, user-centered robots for older adults, care partners, and people living with dementia. |
format | Online Article Text |
id | pubmed-9248047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-92480472022-07-02 User perspectives on emotionally aligned social robots for older adults and persons living with dementia Dosso, Jill A Bandari, Ela Malhotra, Aarti Guerra, Gabriella K Hoey, Jesse Michaud, François Prescott, Tony J Robillard, Julie M J Rehabil Assist Technol Eng Special Collection: Robots to Support Caregiving and Promote Independent Living of Older Adults INTRODUCTION: Socially assistive robots are devices designed to aid users through social interaction and companionship. Social robotics promise to support cognitive health and aging in place for older adults with and without dementia, as well as their care partners. However, while new and more advanced social robots are entering the commercial market, there are still major barriers to their adoption, including a lack of emotional alignment between users and their robots. Affect Control Theory (ACT) is a framework that allows for the computational modeling of emotional alignment between two partners. METHODS: We conducted a Canadian online survey capturing attitudes, emotions, and perspectives surrounding pet-like robots among older adults (n = 171), care partners (n = 28), and persons living with dementia (n = 7). RESULTS: We demonstrate the potential of ACT to model the emotional relationship between older adult users and three exemplar robots. We also capture a rich description of participants’ robot attitudes through the lens of the Technology Acceptance Model, as well as the most important ethical concerns around social robot use. CONCLUSIONS: Findings from this work will support the development of emotionally aligned, user-centered robots for older adults, care partners, and people living with dementia. SAGE Publications 2022-06-22 /pmc/articles/PMC9248047/ /pubmed/35782883 http://dx.doi.org/10.1177/20556683221108364 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Special Collection: Robots to Support Caregiving and Promote Independent Living of Older Adults Dosso, Jill A Bandari, Ela Malhotra, Aarti Guerra, Gabriella K Hoey, Jesse Michaud, François Prescott, Tony J Robillard, Julie M User perspectives on emotionally aligned social robots for older adults and persons living with dementia |
title | User perspectives on emotionally aligned social robots for older
adults and persons living with dementia |
title_full | User perspectives on emotionally aligned social robots for older
adults and persons living with dementia |
title_fullStr | User perspectives on emotionally aligned social robots for older
adults and persons living with dementia |
title_full_unstemmed | User perspectives on emotionally aligned social robots for older
adults and persons living with dementia |
title_short | User perspectives on emotionally aligned social robots for older
adults and persons living with dementia |
title_sort | user perspectives on emotionally aligned social robots for older
adults and persons living with dementia |
topic | Special Collection: Robots to Support Caregiving and Promote Independent Living of Older Adults |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248047/ https://www.ncbi.nlm.nih.gov/pubmed/35782883 http://dx.doi.org/10.1177/20556683221108364 |
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