SUI'23 Best Paper Honorable Mention Award

November 14, 2023

Paper "Usability Evaluation of an Augmented Reality System for Collaborative Fabrication between Multiple Humans and Industrial Robots" wins award.

At the ACM Symposium on Spatial User Interaction 2023 (SUI'23), Xiliu Yang (ICD), Aimée Sousa Calepso (VISUS), Felix Amtsberg (ICD), Achim Menges (ICD) and Michael Sedlmair (VISUS) received a Best Paper Honorable Mention Award for their paper "Usability Evaluation of an Augmented Reality System for Collaborative Fabrication between Multiple Humans and Industrial Robots". Congratulations!

The paper, which was funded by the Cluster of Excellence Integrative Computational Design and Construction for Architecture (IntCDC), was presented at the conference in Sydney by Xiliu Yang and Aimée Sousa Calepso. 

View the news on the website of the Cluster of Excellence

Abstract

Semi-automated timber fabrication tasks demand the expertise and dexterity of human workers in addition to the use of automated robotic systems. In this paper, we introduce a human-robot collaborative system based on Augmented Reality (AR). To assess our approach, we conducted an exploratory user study on a head-mounted display (HMD) interface for task sharing between humans and an industrial robotic platform (N=16). Instead of screen-based interfaces, HMDs allowed users to receive information in-situ, regardless of their location in the workspace and the need to use their hands to handle tools or carry out tasks. We analyzed the resulting open-ended, qualitative user feedback as well as the quantitative user experience data. From the results, we derived challenges to tackle in future implementations and questions that need to be investigated to improve AR-based HRI in fabrication scenarios. The results also suggest that some aspects of human-robot interaction, like communication and trust, are more prominent when implementing a non-dyadic scenario and dealing with larger robots. The study is intended as a prequel to future work into AR-based collaboration between multiple humans and industrial robots.

Link to publication

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