论文标题
考虑到上下文的设计机器人 - 一种设计并不适合所有
Designing robots with the context in mind -- One design does not fit all
论文作者
论文摘要
机器人的视觉品质(VQ)会影响人们对其特征的看法,并影响用户对机器人的行为和态度。近年来,在各种情况和功能中对社会辅助机器人(SAR)的需求日益增长,与各种用户互动。由于SAR类型具有功能差异,因此用户体验必须因使用,功能,用户特征和环境条件的上下文而有所不同。尽管如此,SAR制造商经常为不同的环境设计和部署相同的机器人体现。我们认为,考虑到未来社会中多个不断发展的角色,SARS的视觉设计需要一种更科学的方法。在这项工作中,我们定义了四个上下文层:SAR存在的域,物理环境,其预期用户和机器人的角色。通过在线调查表,我们收集了潜在用户对四种不同SARS所需特征和视觉质量的期望:用于辅助生活/退休居住设施的服务机器人,医院环境的医疗助理机器人,Covid-19官员机器人的医疗机器人,以及用于国内使用的个人助理机器人。结果表明,用户的期望在机器人的所需特征以及每个上下文和用例的预期视觉质量方面有所不同。
Robots' visual qualities (VQs) impact people's perception of their characteristics and affect users' behaviors and attitudes toward the robot. Recent years point toward a growing need for Socially Assistive Robots (SARs) in various contexts and functions, interacting with various users. Since SAR types have functional differences, the user experience must vary by the context of use, functionality, user characteristics, and environmental conditions. Still, SAR manufacturers often design and deploy the same robotic embodiment for diverse contexts. We argue that the visual design of SARs requires a more scientific approach considering their multiple evolving roles in future society. In this work, we define four contextual layers: the domain in which the SAR exists, the physical environment, its intended users, and the robot's role. Via an online questionnaire, we collected potential users' expectations regarding the desired characteristics and visual qualities of four different SARs: a service robot for an assisted living/retirement residence facility, a medical assistant robot for a hospital environment, a COVID-19 officer robot, and a personal assistant robot for domestic use. Results indicated that users' expectations differ regarding the robot's desired characteristics and the anticipated visual qualities for each context and use case.