Trust between humans and machines, and the design of decision aids
International Journal of Man-Machine Studies - Special Issue: Cognitive Engineering in Dynamic Worlds
Computers and thought: a practical introduction to artificial intelligence
Computers and thought: a practical introduction to artificial intelligence
Graphical displays: implications for divided attention, focused attention, and problem solving
Human Factors - Special issue: visual displays
Information Processing and Human-Machine Interaction: An Approach to Cognitive Engineering
Information Processing and Human-Machine Interaction: An Approach to Cognitive Engineering
Humans and Automation: System Design and Research Issues
Humans and Automation: System Design and Research Issues
Brittleness in the design of cooperative problem-solving systems: the effects on user performance
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A model for types and levels of human interaction with automation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Web-based multi-agent system architecture in a dynamic environment
International Journal of Knowledge-based and Intelligent Engineering Systems
Assessing operator strategies for real-time replanning of multiple unmanned vehicles
Intelligent Decision Technologies
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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-automated planning collaboration be achieved. These systems typically require leveraging the computational power of automation, as well as the experience and judgment of human decision makers. Humans and automated planners can interact through degrees of collaboration from automation-directed to human-directed, 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 humanautomated planner collaboration scheme for resource allocation problems using three distinct instantiations of human-automated planner 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.