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Human-Automation Collaboration in Complex Multivariate Resource Allocation Decision Support Systems

Author(s)
Cummings, M.L.; Bruni, S.
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Abstract
In resource allocation problems for systems with moving planning horizons and significant uncertainty, typical of supervisory control environments, it is critical that some balance of human-automation collaboration be achieved. These systems typically require leveraging the computational power of automation, as well as the experience and judgment of human decision makers. Human-automation collaboration can occur through degrees of collaboration from automation-centric to human-centric, and such collaboration is inherently distinct from previously-discussed levels of automation. In the context of a command and control mission planning task, we show that across a number of metrics, there is no clear dominant human-automation collaboration scheme for resource allocation problems using three distinct instantiations of human-automation collaboration. Rather, the ultimate selection for the best resource allocation decision support system will depend on a cost-benefit approach that could include mitigation of workload, conformance to intended design characteristics, as well as the need to maximize overall mission performance.
Date issued
2010
URI
http://hdl.handle.net/1721.1/87037
Publisher
International Journal of Intelligent Decision Technologies
Citation
Cummings, M.L., & S. Bruni, Human-Automation Collaboration in Complex Multivariate Resource Allocation Decision Support Systems, International Journal of Intelligent Decision Technologies, (2010) Vol. 4(2), p. 101-114.
Keywords
role allocation, decision support, resource allocation, satisficing, mission planning

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