Human-Automation Collaboration in Complex Multivariate Resource Allocation Decision Support Systems
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CummingsBruni_IDT_May09.pdf
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704.59 KB
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Author(s)
Cummings, M.L.
Bruni, S.
Date Issued
2010
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.
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.
Subjects
role allocation
decision support
resource allocation
satisficing
mission planning
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