Robot-Assisted Decision-Making: Unveiling the Role of Uncertainty Visualisation and Embodiment

Abstract

Robots are embodied agents that act under several sources of uncertainty. When assisting humans in a collaborative task, robots need to communicate their uncertainty to help inform decisions. In this study, we examine the use of visualising a robot's uncertainty in a high-stakes assisted decision-making task. In particular, we explore how diferent modalities of uncertainty visualisations (graphical display vs. the robot's embodied behaviour) and confdence levels (low, high, 100%) conveyed by a robot afect the human decision-making and perception during a collaborative task. Our results show that these visualisations signifcantly impact how participants arrive to their decision as well as how..