社交机器人的用户体验。
User Experience in Social Robots.
机构信息
Department of Computer Science, Østfold University College, 1783 Halden, Norway.
出版信息
Sensors (Basel). 2021 Jul 26;21(15):5052. doi: 10.3390/s21155052.
Social robots are increasingly penetrating our daily lives. They are used in various domains, such as healthcare, education, business, industry, and culture. However, introducing this technology for use in conventional environments is not trivial. For users to accept social robots, a positive user experience is vital, and it should be considered as a critical part of the robots' development process. This may potentially lead to excessive use of social robots and strengthen their diffusion in society. The goal of this study is to summarize the extant literature that is focused on user experience in social robots, and to identify the challenges and benefits of UX evaluation in social robots. To achieve this goal, the authors carried out a systematic literature review that relies on PRISMA guidelines. Our findings revealed that the most common methods to evaluate UX in social robots are questionnaires and interviews. UX evaluations were found out to be beneficial in providing early feedback and consequently in handling errors at an early stage. However, despite the importance of UX in social robots, robot developers often neglect to set UX goals due to lack of knowledge or lack of time. This study emphasizes the need for robot developers to acquire the required theoretical and practical knowledge on how to perform a successful UX evaluation.
社交机器人正日益渗透到我们的日常生活中。它们被应用于医疗、教育、商业、工业和文化等各个领域。然而,将这项技术引入常规环境并非易事。为了让用户接受社交机器人,积极的用户体验至关重要,这应该被视为机器人开发过程的一个关键部分。这可能会导致社交机器人的过度使用,并加强它们在社会中的扩散。本研究的目的是总结目前关于社交机器人用户体验的文献,并确定在社交机器人中进行用户体验评估的挑战和益处。为了实现这一目标,作者进行了一项基于 PRISMA 指南的系统文献回顾。我们的研究结果表明,评估社交机器人用户体验最常用的方法是问卷调查和访谈。评估用户体验被发现有助于提供早期反馈,并因此在早期处理错误。然而,尽管用户体验在社交机器人中很重要,但由于缺乏知识或缺乏时间,机器人开发者往往忽略设定用户体验目标。本研究强调了机器人开发者需要获得关于如何进行成功的用户体验评估的必要理论和实践知识。