A review of data gathering methods for evaluating socially assistive systems
|Joint first author||Qiu，Shi; An，Pengcheng|
Social interactions significantly impact the quality of life for people with special needs (e.g., older adults with dementia and children with autism). They may suffer loneliness and social isolation more often than people without disabilities. There is a growing demand for technologies to satisfy the social needs of such user groups. However, evaluating these systems can be challeng-ing due to the extra difficulty of gathering data from people with special needs (e.g., communication barriers involving older adults with dementia and children with autism). Thus, in this systematic review, we focus on studying data gathering methods for evaluating socially assistive systems (SAS). Six academic databases (i.e., Scopus, Web of Science, ACM, Science Direct, PubMed, and IEEE Xplore) were searched, covering articles published from January 2000 to July 2021. A total of 65 articles met the inclusion criteria for this systematic review. The results showed that existing SASs most often targeted people with visual impairments, older adults, and children with autism. For instance, a common type of SASs aimed to help blind people perceive social signals (e.g., facial expressions). SASs were most commonly assessed with interviews, questionnaires, and observation data. Around half of the interview studies only involved target users, while the other half also in-cluded secondary users or stakeholders. Questionnaires were mostly used with older adults and people with visual impairments to measure their social interaction, emotional state, and system us-ability. A great majority of observational studies were carried out with users in special age groups, especially older adults and children with autism. We thereby contribute an overview of how different data gathering methods were used with various target users of SASs. Relevant insights are ex-tracted to inform future development and research.
共同第一 ; Others
|WOS Research Area|
Chemistry ; Engineering ; Instruments & Instrumentation
Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
|WOS Accession No|
|EI Accession Number|
Behavioral research ; Economic and social effects ; Surveys
|ESI Classification Code|
Ergonomics and Human Factors Engineering:461.4 ; Medicine and Pharmacology:461.6 ; Social Sciences:971
|ESI Research Field|
Web of Science
Cited Times [WOS]:6
|Document Type||Journal Article|
|Department||School of Design|
1.Department of Design,Shanghai Jiao Tong University,Shanghai,200240,China
2.Department of Industrial Design,Eindhoven University of Technology,Eindhoven,5600MB,Netherlands
3.School of Design,Southern University of Science and Technology,Shenzhen,518055,China
4.School of Computer Science,University of Waterloo,Waterloo,N2L 3G1,Canada
5.Department of Industrial Design,Nantong University,Nantong,226019,China
Qiu，Shi,An，Pengcheng,Kang，Kai,et al. A review of data gathering methods for evaluating socially assistive systems[J]. SENSORS,2022,22(1).
Qiu，Shi,An，Pengcheng,Kang，Kai,Hu，Jun,Han，Ting,&Rauterberg，Matthias.(2022).A review of data gathering methods for evaluating socially assistive systems.SENSORS,22(1).
Qiu，Shi,et al."A review of data gathering methods for evaluating socially assistive systems".SENSORS 22.1(2022).
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