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Chao Wang, Anna Belardinelli, Stephan Hasler, Theodoros Stouraitis, Daniel Tanneberg, Michael Gienger
CHI 2023: The ACM CHI Conference on Human Factors in Computing Systems
Session: Interactivity
The current proliferation of social and assistive robotics applications increasingly emphasizes the need for robots that can be easily learned and interacted with, even by users without a technical background. Yet it is often difficult to grasp what such robots know or to assess whether a correct representation of the task is being formed. Augmented Reality (AR) has the potential to bridge this gap. We demonstrate three use cases in which AR design elements improve the explainability and efficiency of human-robot interaction: 1) a human teaching a robot some simple kitchen tasks through demonstration, 2) the robot developing its plan for solving new tasks in AR to a human for validation, and 3) a robot that communicates its intentions via AR while simultaneously assisting people with limited mobility during daily activities.
Website:: https://programs.sigchi.org/chi/2023/program/content/98964
Video teasers for papers at CHI 2023
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