TY - CHAP A1 - Rotsidis, Alexandros A1 - Theodorou, Andreas A1 - Bryson, Joanna A1 - Wortham, Robert H. T1 - Improving Robot Transparency: An Investigation With Mobile Augmented Reality T2 - Paper presented at The 28th IEEE International Conference on Robot & Human Interactive Communication, New Delhi, India N2 - Autonomous robots can be difficult to understand by their developers, let alone by end users. Yet, as they become increasingly integral parts of our societies, the need for afford- able easy to use tools to provide transparency grows. The rise of the smartphone and the improvements in mobile computing performance have gradually allowed Augmented Reality (AR) to become more mobile and affordable. In this paper we review relevant robot systems architecture and propose a new software tool to provide robot transparency through the use of AR technology. Our new tool, ABOD3-AR provides real-time graphical visualisation and debugging of a robot’s goals and priorities as a means for both designers and end users to gain a better mental model of the internal state and decision making processes taking place within a robot. We also report on our on-going research programme and planned studies to further understand the effects of transparency to naive users and experts. Y1 - 2019 UR - https://researchportal.bath.ac.uk/en/publications/improving-robot-transparency-an-investigation-with-mobile-augment ER - TY - CHAP A1 - Mellmann, Heinrich A1 - Arbuzova, Polina A1 - Kontogiorgos, Dimosthenis A1 - Yordanova, Magdalena A1 - Haensel, Jennifer X. A1 - Hafner, Verena V. A1 - Bryson, Joanna T1 - Effects of Transparency in Humanoid Robots - A Pilot Study T2 - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction N2 - Transparency is recognized as a vital feature for understanding and predicting robot behavior. Another feature that affects interaction with robots is their anthropomorphism. The relationship between these remains under-explored but is postulated to be negative. We present a pilot study investigating the effects of robot transparency in human-robot interactions, where the robot has an anthropomorphic appearance. We asked participants to evaluate and interact with the humanoid robot Pepper to examine whether visualizing the robot's goals and behavior affects perceived intelligence, anthropomorphism, and robot agency. Our preliminary findings suggest that users may attribute higher ratings of agency when interacting with a robot visualizing its goals. In this late-breaking report, we propose our experiment on the interplay between transparency and anthropomorphism in human-robot interaction and summarize insights from our preliminary pilot study. Y1 - 2024 SN - 9798400703232 U6 - https://doi.org/10.1145/3610978.3640613 SP - 750 EP - 754 PB - Association for Computing Machinery CY - New York, NY, USA ER -