ABSTRACT
Since robots can facilitate our everyday life by assisting us in basic tasks, they are continuously integrated into our life. However, for a robot to establish itself, a user must accept and trust its doing. As the saying goes, you don't trust things you don't understand. Therefore, the base hypothesis of this paper is that providing technical transparency for users can increase understanding of the robot architecture and its behaviors as well as trust and acceptance towards it. In this work, we aim to improve a robot's understanding, trust, and acceptance by displaying transparent visualizations of its intention and perception in augmented reality. We conducted a user study where robot navigation with certain interruptions was demonstrated to two groups. The first group did not have AR visualizations displayed during the first demonstration; in the second demonstration, the visualizations were shown. The second group had the visualizations displayed throughout only one demonstration. Results showed that understanding increased with AR visualizations when prior knowledge had been gained in previous demonstrations.
- Author Christoph Bartneck. The Godspeed Questionnaire Series. Christoph Bartneck, Ph.D. Mar. 11, 2008. url: https://www.bartneck.de/2008/03/11/the-godspeed-questionnaire-series/ (visited on 06/29/2022)Google Scholar
- Karl F. MacDorman, Sandosh K. Vasudevan, and Chin-Chang Ho. "Does Japan really have robot mania? Comparing attitudes by implicit and explicit measures". In: AI & SOCIETY 23.4 (July 1, 2009), pp. 485--510. issn: 1435--5655. doi: 10.1007/s00146-008-0181-2. url: https://doi.org/10.1007/s00146-008-0181-2 (visited on 06/29/2022).Google ScholarDigital Library
- Kristin Schaefer. "Measuring Trust in Human Robot Interactions: Development of the "Trust Perception Scale-HRI"". In: Apr. 8, 2016, pp. 191--218. isbn: 978-1-4899-7666-6. doi: 10.1007/978-1-4899-7668-0_10.Google ScholarCross Ref
- Michael Walker et al. "Communicating robot motion intent with augmented reality". In: Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction. 2018, pp. 316--324.Google Scholar
- Thomas Franke, Christiane Attig, and Daniel Wessel. "A Personal Resource for Technology Interaction: Development and Validation of the Affinity for Technology Interaction (ATI) Scale". In: International Journal of Human-Computer Interaction 35.6 (Apr. 3, 2019), pp. 456--467. issn: 1044-7318, 1532-7590. doi: 10.1080/10447318.2018.1456150. url: https://www.tandfonline.com/doi/full/10. 1080/10447318.2018.1456150 (visited on 06/29/2022).Google ScholarCross Ref
- Shuwen Qiu et al. "Human-Robot Interaction in a Shared Augmented Reality Workspace". In: arXiv:2007.12656 [cs] (Dec. 8, 2020). arXiv: 2007.12656. url: http://arxiv.org/abs/2007.12656 (visited on 03/03/2022).Google Scholar
- Matthieu Fradet et al. "AR-Bot, a Centralized AR-based System for Relocalization and Home Robot Navigation:" in: Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Online Streaming: SCITEPRESS - Science and Technology Publications, 2021, pp. 637--645. isbn: 978-989-758-488-6. doi: 10.5220/ 0010190506370645.Google Scholar
- Rhys Newbury et al. "Visualizing Robot Intent for Object Handovers with Augmented Reality". In: arXiv:2103.04055 [cs] (Sept. 10, 2021). arXiv: 2103.04055. url: http://arxiv.org/abs/2103.04055 (visited on 03/03/2022).Google Scholar
- strands_movebase. original-date: 2014-09-02T12:19:04Z. Apr. 21, 2022. url: https://github.com/strands-project/strands_movebase (visited on 05/01/2022).Google Scholar
- Kai Groetenhardt. "A Discussion on Current Augmented Reality Concepts Which Help Users to Better Understand and Manipulate Robot Behavior". In:, p. 8.Google Scholar
- E Rosen et al. "Communicating robot arm motion intent through mixed reality head-mounted displays. arXiv 2017". In: arXiv preprint arXiv:1708.03655 ().Google Scholar
Index Terms
- Technical Transparency for Robot Navigation Through AR Visualizations
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