A study of human-agent collaboration for multi-UAV task allocation in dynamic environments

Ramchurn, Sarvapali D., Fischer, Joel E., Ikuno, Yuki, Wu, Feng, Flann, Jack and Waldock, Antony (2015) A study of human-agent collaboration for multi-UAV task allocation in dynamic environments. In: International Joint Conference on Artificial Intelligence (IJCAI-15), 25-31 July 2015, Buenos Aires, Argentina.

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We consider a setting where a team of humans oversee the coordination of multiple Unmanned Aerial Vehicles (UAVs) to perform a number of search tasks in dynamic environments that may cause the UAVs to drop out. Hence, we develop a set of multi-UAV supervisory control interfaces and a multi-agent coordination algorithm to support human decision making in this setting. To elucidate the resulting interactional issues, we compare manual and mixed-initiative task allocation in both static and dynamic environments in lab studies with 40 participants and observe that our mixed initiative system results in lower workloads and better performance in re-planning tasks than one which only involves manual task allocation. Our analysis points to new insights into the way humans appropriate flexible autonomy.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/755945
Additional Information: The following statement has been received from Vesna Sabljakovic-Fritz, the IJCAI Executive Secretary "We welcome open-access publications and, in fact, publish our proceedings free of charge online. You can publish any version of the paper published at IJCAI. The only requirement is that a reference (and a link) to the copyright holder (IJCAI) is required" Copyright IJCAI 2015
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Fischer, Joel
Date Deposited: 10 Feb 2016 10:58
Last Modified: 04 May 2020 17:12
URI: https://eprints.nottingham.ac.uk/id/eprint/31397

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