Elmimouni Houda, Hansen John Paulin, Herring Susan C, Marcin James, Orduna Marta, Pérez Pablo, Rae Irene, Read Janet C, Rode Jennifer, Sabanovic Selma, Ahumada-Newhart Verónica
University of Indiana, Bloomington, Bloomington, USA.
Technical University of Denmark, Kongens Lyngby, Denmark.
Ext Abstr Hum Factors Computing Syst. 2022 Apr;2022. doi: 10.1145/3491101.3503728. Epub 2022 Apr 28.
The last several years have seen a strong growth of telerobotic technologies with promising implications for many areas of learning. HCI has contributed to these discussions, mainly with studies on user experiences and user interfaces of telepresence robots. However, only a few telerobot studies have addressed everyday use in real-world learning environments. In the post-COVID 19 world, sociotechnical uncertainties and unforeseen challenges to learning in hybrid learning environments constitute a unique frontier where robotic and immersive technologies can mediate learning experiences. The aim of this workshop is to set the stage for a new wave of HCI research that accounts for and begins to develop new insights, concepts, and methods for use of immersive and telerobotic technologies in real-world learning environments. Participants are invited to collaboratively define an HCI research agenda focused on robot-mediated learning in the wild, which will require examining end-user engagements and questioning underlying concepts regarding telerobots for learning.
在过去几年中，远程机器人技术得到了强劲发展，对许多学习领域都有着广阔的应用前景。人机交互（HCI）为这些讨论做出了贡献，主要是通过对远程呈现机器人的用户体验和用户界面的研究。然而，只有少数远程机器人研究涉及到在现实世界学习环境中的日常使用。在新冠疫情后的世界里，混合学习环境中的社会技术不确定性以及对学习的意外挑战构成了一个独特的前沿领域，机器人技术和沉浸式技术可以在此调节学习体验。本次研讨会的目的是为新一轮的人机交互研究奠定基础，该研究将考虑并开始形成关于在现实世界学习环境中使用沉浸式和远程机器人技术的新见解、概念和方法。我们邀请参与者共同确定一个专注于野外机器人介导学习的人机交互研究议程，这将需要研究终端用户的参与情况，并对有关用于学习的远程机器人的基本概念提出质疑。
