与社交机器人的交互研究

K. Dautenhahn
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引用次数: 1

摘要

在过去的10年里,我们看到世界范围内对伴侣机器人的研究和开发取得了巨大的增长。这些机器人可以完成特定的任务,但要以社会可接受的方式完成。陪伴方面反映了这种互动的重复性和长期性,以及人们与这种机器人建立关系的潜力,例如作为友好的助手。许多伴侣和助手机器人已经进入市场,最新的两个例子是Aldebaran的Pepper机器人,或者Jibo(辛西娅·布雷齐尔饰)。伴侣机器人越来越多地瞄准特定的应用领域,例如作为家庭助理或治疗工具。对伴侣机器人的研究需要解决许多关于感知、认知、行动和学习的基础研究问题,但无论我们的机器人系统有多复杂,潜在的用户需要从开发的早期阶段就考虑到。演讲将强调需要一个高度以用户为中心的方法来设计、开发和评估同伴机器人。一个重要的挑战是在现实和长期的场景中评估机器人,以便尽可能接近地捕捉那些在现实世界中使用此类机器人时将发挥作用的关键方面。为了说明这些观点,我的演讲将给出我的研究团队参与的相互作用研究的例子。这包括研究人们如何感知机器人的非语言线索,使用叙事框架为家庭伴侣机器人创建和评估现实场景,以及儿童与治疗和社交机器人Kaspar的语言和触觉互动。讲座将重点介绍我们从实验室实验和原型到实际应用过程中遇到的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interaction Studies with Social Robots
Over the past 10 years we have seen worldwide an immense growth of research and development into companion robots. Those are robots that fulfil particular tasks, but do so in a socially acceptable manner. The companionship aspect reflects the repeated and long-term nature of such interactions, and the potential of people to form relationships with such robots, e.g. as friendly assistants. A number of companion and assistant robots have been entering the market, two of the latest examples are Aldebaran's Pepper robot, or Jibo (Cynthia Breazeal). Companion robots are more and more targeting particular application areas, e.g. as home assistants or therapeutic tools. Research into companion robots needs to address many fundamental research problems concerning perception, cognition, action and learning, but regardless how sophisticated our robotic systems may be, the potential users need to be taken into account from the early stages of development. The talk will emphasize the need for a highly user-centred approach towards design, development and evaluation of companion robots. An important challenge is to evaluate robots in realistic and long-term scenarios, in order to capture as closely as possible those key aspects that will play a role when using such robots in the real world. In order to illustrate these points, my talk will give examples of interaction studies that my research team has been involved in. This includes studies into how people perceive robots' non-verbal cues, creating and evaluating realistic scenarios for home companion robots using narrative framing, and verbal and tactile interaction of children with the therapeutic and social robot Kaspar. The talk will highlight the issues we encountered when we proceeded from laboratory-based experiments and prototypes to real-world applications.
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