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arXiv 2207.07540cs.RO
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PD/EUP研讨会论文集

PD/EUP Workshop Proceedings

University of Wisconsin-Madison(威斯康星大学麦迪逊分校);KTH(瑞典皇家理工学院)

Emmanuel Senft, David Porfirio, Katie Winkle

摘要:

需要机器人的人往往与能给机器人编程的人不一样。人机交互(HRI)中的这一关键观察结果在开发机器人应用程序时带来了许多挑战,因为开发人员必须了解最终用户的确切需求。参与式设计(PD)是在机器人设计过程的早期将最终用户等利益相关者包括在内的过程,已在HRI中取得了显著的成功,但通常仍限于开发的早期阶段。由此产生的机器人行为通常由工程师硬编码,或用于很少实现自主性的绿野仙踪(WoZ)系统。终端用户编程(EUP),即,允许具有有限计算机知识的终端用户对系统进行编程的工具的研究已经被广泛应用于与人类交互的机器人行为的设计,但是这些工具存在着仅作为研究演示而存在的风险,这些研究演示仅存在于对它们进行评估和发表所需的时间量内。在PD/EUP研讨会中,我们的目标是促进这些社区之间的相互学习,并创造沟通机会,帮助更大的HRI社区实现最终用户个性化和适应性强的互动。如果我们希望机器人对更广泛的社会有用,PD和EUP都将是关键要求。通过这次研讨会,我们期待新的合作机会出现,我们的目标是正式整合PD和EUP方法的新方法。

英文摘要:

People who need robots are often not the same as people who can program them. This key observation in human-robot interaction (HRI) has lead to a number of challenges when developing robotic applications, since developers must understand the exact needs of end-users. Participatory Design (PD), the process of including stakeholders such as end users early in the robot design process, has been used with noteworthy success in HRI, but typically remains limited to the early phases of development. Resulting robot behaviors are often then hardcoded by engineers or utilized in Wizard-of-Oz (WoZ) systems that rarely achieve autonomy. End-User Programming (EUP), i.e., the research of tools allowing end users with limited computer knowledge to program systems, has been widely applied to the design of robot behaviors for interaction with humans, but these tools risk being used solely as research demonstrations only existing for the amount of time required for them to be evaluated and published. In the PD/EUP Workshop, we aim to facilitate mutual learning between these communities and to create communication opportunities that could help the larger HRI community work towards end-user personalized and adaptable interactions. Both PD and EUP will be key requirements if we want robots to be useful for wider society. From this workshop, we expect new collaboration opportunities to emerge and we aim to formalize new methodologies that integrate PD and EUP approaches.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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