由老年人定义的人与机器人互动的前景方向

Anastasia K. Ostrowski, Jennifer Zhang, Cynthia Breazeal, Hae Won Park
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摘要

导言:老年人越来越多地使用语音代理和社交机器人技术,机器人专家在设计这些系统的交互时也越来越多地考虑到老年人。在这些设计过程中,老年人往往没有参与其中,但老年人有很多机会与设计团队合作,设计未来的机器人互动,并帮助指导机器人的开发方向:方法:通过为期一年的共同设计项目,我们与 28 位老年人合作,了解老年人认为有希望在日常生活中实现老年人与机器人互动的关键重点领域,以及他们希望如何设计这些互动。本文描述并探讨了由老年人确定的机器人交互指南和未来方向,特别是调查了这些指南在从最初访谈到设计指南生成会议再到最后访谈的共同设计过程中的变化和轨迹。我们通过改编的人种学决策树建模方法对结果进行了分析,以了解老年人围绕社交机器人的各个重点领域和指导方针所做的决策:总的来说,在从开始到结束的共同设计过程中,老年人对机器人有了更深入的了解,从而更加确定了自己的态度,即他们希望机器人如何在生活中与他们互动。老年人对提醒和日程安排等事务性功能的接受程度更高,而对涉及共享敏感信息、跟踪和/或监控他们的功能则不太开放,他们对监控表示担忧。虽然老年人对自主性、隐私和与机器人互动的自然性表示担忧,但机器人在与他人联系、身体信号监测和情感健康方面的互动还是有一定前景的,这需要进一步探讨:讨论:这项研究为未来设计与老年人互动的机器人的互动开发提供了指导,并强调了需要与老年人进一步研究的领域,以了解如何以最佳方式设计用户关注的问题。
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Promising directions for human-robot interactions defined by older adults
Introduction: Older adults are engaging more and more with voice-based agent and social robot technologies, and roboticists are increasingly designing interactions for these systems with older adults in mind. Older adults are often not included in these design processes, yet there are many opportunities for older adults to collaborate with design teams to design future robot interactions and help guide directions for robot development.Methods: Through a year-long co-design project, we collaborated with 28 older adults to understand the key focus areas that older adults see promise in for older adult-robot interaction in their everyday lives and how they would like these interactions to be designed. This paper describes and explores the robot-interaction guidelines and future directions identified by older adults, specifically investigating the change and trajectory of these guidelines through the course of the co-design process from the initial interview to the design guideline generation session to the final interview. Results were analyzed through an adapted ethnographic decision tree modeling approach to understand older adults’ decision making surrounding the various focus areas and guidelines for social robots.Results: Overall, over the course of the co-design process between the beginning and end, older adults developed a better understanding of the robot that translated to them being more certain of their attitudes of how they would like a robot to engage with them in their lives. Older adults were more accepting of transactional functions such as reminders and scheduling and less open to functions that would involve sharing sensitive information and tracking and/or monitoring of them, expressing concerns around surveillance. There was some promise in robot interactions for connecting with others, body signal monitoring, and emotional wellness, though older adults brought up concerns around autonomy, privacy, and naturalness of the interaction with a robot that need to be further explored.Discussion: This work provides guidance for future interaction development for robots that are being designed to interact with older adults and highlights areas that need to be further investigated with older adults to understand how best to design for user concerns.
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