Bibliography | Vogelsang, Jonas: Increasing trust in human-robot interaction through data visualization in augmented reality. University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Master Thesis No. 108 (2023). 71 pages, english.
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Abstract | “Can we trust a robot?”, is a question that becomes more and more relevant as new robots and interaction technologies are being developed all the time. Already for a simple autonomous system, such as weather forecast for aviation control, it is imperative to investigate the trust in the system. Otherwise an ignored warning might lead to disastrous consequences, such as a plane crash. Trust is also prevalent in human-robot interaction and a major topic in current research. We want to contribute to this field of research by investigating whether visualizations for augmented reality can improve trust in human-robot interaction with industrial robot arms. Recent publications and their findings for human-robot interaction and augmented reality for human-robot interaction will be discussed, as well as, trust in human-robot interaction, and data visualization in augmented reality. With the help of an expert focus group novel visualizations were developed and be discussed. From the expert feedback we extracted some recommendations for the development of visualizations for large industrial robot arms. The suggestions for visualizations from the focus group were developed, implemented and then tested in a user study with a large industrial robot arm. While the results of the study showed no significant effect on any measured variable, the additional feedback given by the participants showed their great interest in the developed visualizations. The study shows that there is some potential for visualizations to improve the interaction with the robot
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Full text and other links | Volltext
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Department(s) | University of Stuttgart, Institute of Visualisation and Interactive Systems, Visualisation and Interactive Systems
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Superviser(s) | Sedlmai, Prof. Michael; Calepso, Aimee Sousa; Yang, Xiliu |
Entry date | May 21, 2024 |
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