dc.contributor.author | Cummings, M.L. | |
dc.contributor.author | Bruni, S. | |
dc.date.accessioned | 2014-05-16T17:48:12Z | |
dc.date.available | 2014-05-16T17:48:12Z | |
dc.date.issued | 2010 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/87037 | |
dc.description.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. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | International Journal of Intelligent Decision Technologies | en_US |
dc.subject | role allocation | en_US |
dc.subject | decision support | en_US |
dc.subject | resource allocation | en_US |
dc.subject | satisficing | en_US |
dc.subject | mission planning | en_US |
dc.title | Human-Automation Collaboration in Complex Multivariate Resource Allocation Decision Support Systems | en_US |
dc.type | Article | en_US |
dc.identifier.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. | en_US |