Qiu Shi, An Pengcheng, Kang Kai, Hu Jun, Han Ting, Rauterberg Matthias
Department of Design, Shanghai Jiao Tong University, Shanghai, 800 Dongchuan RD. Minhang District China.
Department of Industrial Design, Eindhoven University of Technology, Eindhoven, Netherlands.
Univers Access Inf Soc. 2023;22(2):609-633. doi: 10.1007/s10209-021-00852-w. Epub 2021 Nov 15.
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. 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. 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. 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.
支持人们进行社交互动的辅助技术的发展在人机交互领域引起了越来越多的关注。本文对针对老年人和残疾人的社交辅助系统的研究进行了系统综述。目的有三个：（1）对相关辅助系统进行特征描述，特别关注系统设计，主要包括所使用的人机交互技术和采取的用户参与方法；（2）研究其系统评估方式；（3）思考对未来设计研究的启示。使用关键词“社交互动”和“辅助技术”在以下数据库中进行了系统的文献检索：Scopus、科学引文索引、美国计算机协会数字图书馆、爱思唯尔科学Direct数据库、医学期刊数据库和电气与电子工程师协会Xplore数据库。65篇论文符合纳入标准并进行了进一步分析。我们的结果表明，有11种人机交互技术支持目标用户的社交互动。最常见的是认知和意义理解技术，通常与可穿戴设备一起应用以补偿用户的感官损失；33.85%的研究在设计阶段让最终用户和利益相关者参与；确定了四种评估方法。大多数研究采用实验室实验来测量用户与系统的交互以及系统验证。在系统评估中使用代理用户，特别是在初始实验中；42.46%的评估在实地环境中进行，主要包括参与者自己的家中和机构。我们提供了支持老年人和残疾人社交互动的社交辅助系统的概述，并说明了未来工作中出现的技术和研究机会。
