Towards model-based robot behaviour adaptation: Successful human-robot collaboration in tense and stressful situations

Sobhani, M., Pipe, A. G., Dogramadzi, S. and Fennell, J. G. (2015) Towards model-based robot behaviour adaptation: Successful human-robot collaboration in tense and stressful situations. In: Iranian Conference on Electrical Engineering (ICEE) 2015, Tehran, Iran, 10-14 May 2015., pp. 922-927 Available from: http://eprints.uwe.ac.uk/26242

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Publisher's URL: http://dx.doi.org/10.1109/IranianCEE.2015.7146343

Abstract/Description

In a demanding environment such as search and rescue, where human-robot collaboration provides potential benefits, understanding complex human behaviour will promote greater success. We propose that robots need to be equipped with embodied models of both human behaviour and the environment. Here we emulate some conditions of a disaster area to test collaboration between a robot and human, with added environmental distraction (noise) and cognitive load. With this setup, we generate empirical data as the basis of human performance modelling, using machine learning techniques. The experiment was repeated in three phases, first to capture baseline data for the basis of the model and later comparison with the second phase, where the robot adapted its working pace based on participants' performance, and the third phase, where the robot instead provided feedback to the participant based on their performance. Results suggest that, in a situation which is tense and stressful for human, having a robot adapting its behaviour towards that of a person can improve the overall success rate of the task at hand.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:robot behaviour, human-robot collaboration, stress
Faculty/Department:Faculty of Environment and Technology > Department of Engineering Design and Mathematics
ID Code:26242
Deposited By: Professor S. Dogramadzi
Deposited On:13 Aug 2015 11:17
Last Modified:12 Apr 2016 12:18

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