"Programming - It’s not for Normal People": A Qualitative Study on User-Empowering Interfaces for Programming Collaborative Robots

G. Giannopoulou, Elsi-Mari Borrelli, Fiona McMaster
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引用次数: 6

Abstract

Technology can be empowering: It can lift the burden from tasks we find dreadful and help us excel in tasks we enjoy. Equally, a mismatch between the user interface (UI) and our skills can make us feel incompetent and reluctant towards the technology. With the trend to increase the level of automation in fields beyond traditional manufacturing, such as laboratories or small workshops, new technologies such as collaborative robots (cobots) are entering the workplace. The technology literacy levels of professionals in these fields may vary greatly depending on their age, gender, education and personal interests, creating a challenge in designing universal cobot UIs. In this qualitative study, we address the question of how introducing interaction skills and intelligence to cobots may inhibit or encourage users to use them in their work context. The interviews, performed with 15 individuals working in laboratory settings, gave rise to numerous themes relevant to the design of user-empowering cobot interfaces for individuals with varying technology literacy levels: As "programming may not be for a normal person", talking to a robot may not be for another. Incorporating the unique interests, fears, personal and domain experience of the end users can contribute to the design and development of cobot interfacesas diverse as their needs, thus maximizing the likelihood of successful integration across diverse work environments.
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“编程——它不适合普通人”:协作机器人编程用户授权界面的定性研究
科技可以赋予我们力量:它可以减轻我们觉得可怕的任务的负担,帮助我们在喜欢的任务中表现出色。同样,用户界面(UI)和我们的技能之间的不匹配会让我们对技术感到无能和不情愿。随着传统制造业领域(如实验室或小作坊)自动化水平的提高,协作机器人(cobots)等新技术正在进入工作场所。这些领域的专业人员的技术素养水平可能因其年龄、性别、教育程度和个人兴趣而有很大差异,这给设计通用的协作机器人ui带来了挑战。在这项定性研究中,我们解决了将交互技能和智能引入协作机器人如何抑制或鼓励用户在工作环境中使用它们的问题。对15名在实验室环境中工作的人进行的采访,产生了许多与设计用户授权协作机器人界面相关的主题,这些界面适用于不同技术素养水平的个人:正如“编程可能不适合普通人”,与机器人交谈可能不适合另一个人。结合最终用户的独特兴趣、恐惧、个人和领域经验,可以帮助设计和开发与他们需求一样多样化的协作机器人界面,从而最大限度地提高跨不同工作环境成功集成的可能性。
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