Automated systems, ranging from robots to intelligent planning aids, are increasingly part of the cognitive landscape. A pressing question facing the human factors community is how to design the automation to foster effective collaboration between the human and automated agents. This panel brings together leading researchers actively engaged in design of decision-support systems that involve some element of ‘cognitive work’ automation. They represent a variety of domains and a variety of approaches to design of collaborative automation. Panel members will discuss unique challenges of their respective domains, including differences in temporal rhythm, and how these have shaped their perspective on ‘collaborative aiding’.
Get full access to this article
View all access options for this article.
References
1.
BonassoR.P.SchreckenghostD.Using Intelligent Agents to Support DSN Scheduling. In Proceedings of the IJCAI Workshop on AI In Space. Pasadena, CA. 2009.
2.
ClareA. S.CummingsM. L.BertuccelliL.Identifying Suitable Algorithms for Human-Computer Collaborative Scheduling of Multiple Unmanned Vehicles, AIAA Aerospace Sciences Meeting, Nashville, TN, 2012.
3.
CummingsM.L.HowJ.WhittenA.ToupetO., “The Impact of Human-Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control,”Proceedings of the IEEE, 2012, Vol. 100(3), pp. 660-671.
4.
DePassB.RothE.ScottR.WamplerJ.TruxlerR.GuinC. (2011). Designing for Collaborative Automation: A Course of Action Exploration Tool for Transportation PlanningProceedings of the 10th International Conference on Naturalistic Decision Making (NDM 2011). May 31st to June 3rd, 2011, Orlando, FL, USA. FioreS.M.Harper-SciariniM. (Eds.). Orlando, FL: University of Central Florida.
5.
MillerC.ParasuramanR. (2007). “Designing for Flexible Interaction between Humans and Automation: Delegation Interfaces for Supervisory Control.”Human Factors, 49(1), 57-75.
6.
ScottR.RothE. M.TruxlerR.OstwaldJ.WamplerJ. (2009). Techniques for effective collaborative automation for air mission replanning. In Proceedings of the Human Factors and Ergonomics Society 53rd Annual Meeting. (pp. 202-206). Santa Monica, CA: Human Factors and Ergonomics Society.
7.
SheridanT. (2002). Humans and automation: System design and research issues. Santa Monica, CA: Human Factors and Ergonomics Society/New York: Wiley.
SpencerA.L.BillingsC. (2010). The Design of a Distributed Work System to Support Adaptive Decision Making Across Multiple Organizations. In KathleenL. MosierUteM. Fischer, (Eds.), Informed by Knowledge: Expert Performance in Complex Situations. New York: Taylor and Francis.
10.
SuchmanL. (1987). Plans and Situated Actions: The Problem of Human-Machine Communication. New York: Cambridge University Press.P.J.
11.
TruxlerR.RothE.ScottR.SmithS.WamplerJ. (2012a), Designing Collaborative Automated Planners for Dynamically Changing Environments: Supporting Agile Adaptation to Changing Priorities. Proceedings of the 2012 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, New Orleans, LA.
12.
TruxlerR.RothE.ScottR.SmithS.WamplerJ. (2012b). Designing collaborative automated planners for agile adaptation to dynamic change. In Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting. Santa Monica, CA: Human Factors and Ergonomics Society.
13.
SchreckenghostD.NgoT.BurridgeR.WangL.IzygonM.Remote Task-level Commanding of Centaur over Time Delay. Space Technology Applications & International Forum2008. Albuquerque, NM.
14.
SchreckenghostD.BonassoP.HudsonM.B.MartinC.MilamT.ThronesberyC.Teams of Engineers and Agents for Managing the Recovery of Water. AAAI Spring Symposium Workshop on Persistent Assistants: Living and Working with AI. Palo Alto, CA. March2005.
