3 papers
cs.HC2025
Enhancing Joint Human-AI Inference in Robot Missions: A Confidence-Based Approach
Duc-An Nguyen, Clara Colombatto, Steve Fleming +3
Joint human-AI inference holds immense potential to improve outcomes in human-supervised robot missions. Current day missions are generally in the AI-assisted setting, where the hu…
cs.HC2025
Joint Decision-Making in Robot Teleoperation: When are Two Heads Better Than One?
Duc-An Nguyen, Raunak Bhattacharyya, Clara Colombatto +3
Operators working with robots in safety-critical domains have to make decisions under uncertainty, which remains a challenging problem for a single human operator. An open question…
cs.HC2024
A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers
Daniel Omeiza, Raunak Bhattacharyya, Marina Jirotka +2
Transparency in automated systems could be afforded through the provision of intelligible explanations. While transparency is desirable, might it lead to catastrophic outcomes (suc…