Predicting performance and situation awareness of robot operators in complex situations by unit task tests
Human-in-the-loop field tests of human-robot operations in high-demand situations provide serious constraints with respect to costs and control. A set of relatively simple unit tasks might be used to do part of the testing and to establish a benchmark for human-robot performance and situation awareness. For an urban search and rescue (tunnel accident) scenario, we selected and refined the corresponding unit tasks from a first version of a test battery. First responders (fire-men) conducted these unit tasks with a state-of-the-art robot and, subsequently, had to perform the tunnel accident mission in a realistic field setting with the same robot. The Detect objects unit task proved to partially predict operator’s performance and the operator’s collision awareness in the scenario. Individual differences, particularly age, had a major effect on performance and collision awareness in both the unit tasks and scenario.
To reference this document use:
PCS - Perceptual and Cognitive Systems
BSS - Behavioural and Societal Sciences
Virtual environments and Gaming Defence
Defence, Safety and Security
5th International Conference on Advances in Computer-Human Interactions, ACHI 2012, 30 January 2012 through 4 February 2012, Valencia, 241-246