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.
翻译:机器人的视觉品质( VQs) 影响人们对其特性的感知,影响用户对机器人的行为和态度。 近些年来,人们越来越需要社会辅助机器人(SARs)在各种背景和功能上与不同用户互动。 由于SAR类型存在功能差异,用户的经验必须因使用、功能、用户特点和环境条件的不同而不同。 然而,SAR制造商往往为不同背景设计和部署同样的机器人化体。我们争辩说,SARs的视觉设计需要更科学的方法来考虑他们在未来社会中的多重不断变化的作用。在这项工作中,我们定义了四个背景层面:SAR存在的领域、物理环境、其预期用户以及机器人的作用。通过在线问卷,我们收集了潜在用户对四个不同SAR的预期特征和视觉品质的期望:一个辅助生活/退休住所的服务机器人、一个医院环境的医疗助理机器人、一个COVID-19干事机器人和一个供家庭使用的个人助理机器人。结果显示,用户对机器人的预期特性和每种背景和使用案例的预期视觉品质的期望不同。