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Investigating socially assistive systems from system design and evaluation: a systematic review
Purpose The development of assistive technologies that support people in social interactions has attracted increased attention in HCI. This paper presents a systematic review of studies of Socially Assistive Systems targeted at older adults and people with disabilities. The purpose is threefold: (1)...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591319/ https://www.ncbi.nlm.nih.gov/pubmed/34803565 http://dx.doi.org/10.1007/s10209-021-00852-w |
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author | Qiu, Shi An, Pengcheng Kang, Kai Hu, Jun Han, Ting Rauterberg, Matthias |
author_facet | Qiu, Shi An, Pengcheng Kang, Kai Hu, Jun Han, Ting Rauterberg, Matthias |
author_sort | Qiu, Shi |
collection | PubMed |
description | Purpose The development of assistive technologies that support people in social interactions has attracted increased attention in HCI. This paper presents a systematic review of studies of Socially Assistive Systems targeted at older adults and people with disabilities. The purpose is threefold: (1) Characterizing related assistive systems with a special focus on the system design, primarily including HCI technologies used and user-involvement approach taken; (2) Examining their ways of system evaluation; (3) Reflecting on insights for future design research. Methods A systematic literature search was conducted using the keywords “social interactions” and “assistive technologies” within the following databases: Scopus, Web of Science, ACM, Science Direct, PubMed, and IEEE Xplore. Results Sixty-five papers met the inclusion criteria and were further analyzed. Our results showed that there were 11 types of HCI technologies that supported social interactions for target users. The most common was cognitive and meaning understanding technologies, often applied with wearable devices for compensating users’ sensory loss; 33.85% of studies involved end-users and stakeholders in the design phase; Four types of evaluation methods were identified. The majority of studies adopted laboratory experiments to measure user-system interaction and system validation. Proxy users were used in system evaluation, especially in initial experiments; 42.46% of evaluations were conducted in field settings, primarily including the participants’ own homes and institutions. Conclusion We contribute an overview of Socially Assistive Systems that support social interactions for older adults and people with disabilities, as well as illustrate emerging technologies and research opportunities for future work. |
format | Online Article Text |
id | pubmed-8591319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-85913192021-11-15 Investigating socially assistive systems from system design and evaluation: a systematic review Qiu, Shi An, Pengcheng Kang, Kai Hu, Jun Han, Ting Rauterberg, Matthias Univers Access Inf Soc Review Paper Purpose The development of assistive technologies that support people in social interactions has attracted increased attention in HCI. This paper presents a systematic review of studies of Socially Assistive Systems targeted at older adults and people with disabilities. The purpose is threefold: (1) Characterizing related assistive systems with a special focus on the system design, primarily including HCI technologies used and user-involvement approach taken; (2) Examining their ways of system evaluation; (3) Reflecting on insights for future design research. Methods A systematic literature search was conducted using the keywords “social interactions” and “assistive technologies” within the following databases: Scopus, Web of Science, ACM, Science Direct, PubMed, and IEEE Xplore. Results Sixty-five papers met the inclusion criteria and were further analyzed. Our results showed that there were 11 types of HCI technologies that supported social interactions for target users. The most common was cognitive and meaning understanding technologies, often applied with wearable devices for compensating users’ sensory loss; 33.85% of studies involved end-users and stakeholders in the design phase; Four types of evaluation methods were identified. The majority of studies adopted laboratory experiments to measure user-system interaction and system validation. Proxy users were used in system evaluation, especially in initial experiments; 42.46% of evaluations were conducted in field settings, primarily including the participants’ own homes and institutions. Conclusion We contribute an overview of Socially Assistive Systems that support social interactions for older adults and people with disabilities, as well as illustrate emerging technologies and research opportunities for future work. Springer Berlin Heidelberg 2021-11-15 2023 /pmc/articles/PMC8591319/ /pubmed/34803565 http://dx.doi.org/10.1007/s10209-021-00852-w Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Paper Qiu, Shi An, Pengcheng Kang, Kai Hu, Jun Han, Ting Rauterberg, Matthias Investigating socially assistive systems from system design and evaluation: a systematic review |
title | Investigating socially assistive systems from system design and evaluation: a systematic review |
title_full | Investigating socially assistive systems from system design and evaluation: a systematic review |
title_fullStr | Investigating socially assistive systems from system design and evaluation: a systematic review |
title_full_unstemmed | Investigating socially assistive systems from system design and evaluation: a systematic review |
title_short | Investigating socially assistive systems from system design and evaluation: a systematic review |
title_sort | investigating socially assistive systems from system design and evaluation: a systematic review |
topic | Review Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591319/ https://www.ncbi.nlm.nih.gov/pubmed/34803565 http://dx.doi.org/10.1007/s10209-021-00852-w |
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