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Appendix C REFERENCES Bass, R. F. 1987. Computer-assisted observer training. Journal of Applied Behavior Analysis, 20(1):83–88. Beck, A. H., Sangoi, A. R. Leung, S. Marinelli, R. J. Nielsen, T.O., va de Vijver, M. J. West, R. B., va de Rijn, M, and D. Koller. 2011. Systematic analysis of breast cancer morphology uncovers stromal features associated with survival. Science Translational Medicine, 3(108):108-113. Benson, K., and S. Rotkoff. 2011. Goodbye, OODA loop. Armed Forces Journal, 26–41. Berker A. O., M. Bikson, S. Bestmann. 2013. Predicting the behavioural impact of transcranial direct current stimulation: issues and limitations. Frontiers of Human Neuroscience. Bradshaw, J. M., R. Hoffman, M. Johnson, and D. Woods. 2013. The seven deadly myths of “autonomous systems.” IEEE Intelligent Systems, 28(3):54–61. doi:10.1109/MIS.2013.70. Bradshaw, J. M., P. Feltovich, M. Johnson, M. Breedy, L. Bunch, T. Eskridge, H. Jung, J. Lott, A. Uszok, and J. van Diggelen. 2009. From tools to teammates: Joint activity in human-agent-robot teams. Human centered design. In Lecture Notes in Computer Science, vol. 5619, Masaki Kurosu, ed. Berlin, Germany: Springer, 935–944. Bullard L.M., E. S. Browning, V. P. Clark, B. A. Coffman, C M. Garcia, R. E. Jung, A. J. van der Merwe, K. M. Paulson, A. A. Vakhtin, C. L. Wootton, M. P. Weisend. 2011. Transcranial direct current stimulation's effect on novice versus experienced learning.. Exp Brain Res. 2011 Aug;213(1):9-14. doi: 10.1007/s00221-011-2764-2. Epub 2011 Jun 26. Casini E., J. Depree, N. Suri, J. M. Bradshaw, and T. Nieten. Enhancing decision-making by leveraging human intervention in large-scale sensor networks. MILCOM 2014, in press. Christoffersen, K., and D. Woods. 2002. How to make automated systems team players. In Advances in Human Performance and Cognitive Engineering Research, vol. 2, E. Salas, ed. JAI Press/Emerald. Clark, H., and S. Brennan. 1991. Grounding in communication. In Perspectives on Socially Shared Cognition, L. Resnick, J. Levine, and S. Teasley, eds. Washington, DC: American Psychological Association, 127–149. 79
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80 Complex Operational Decision Making in Networked Systems of Humans and Machines Cooke, N. J., J. C. Gorman, C. W. Myers, and J. L. Duran. 2013. Interactive team cognition. Cognitive Science, 37(2):255–285. doi: 10.1111/cogs.12009. Cooke, N. J., E. Salas, P. A. Kiekel, and B. Bell. 2004. Advances in measuring team cognition. In Team cognition: Understanding the factors that drive process and performance, E. Salas, S. M. Fiore, and J. A. Cannon-Bowers, eds. Washington, DC: American Psychological Association. Crandall, J., and M. L. Cummings. 2007. Developing performance metrics for the supervisory control of multiple robots. Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction. Washington, DC. Cuevas, H. M., S. M. Fiore, B. S. Caldwell, and L. Strater. 2007. Augmenting team cognition in human-automation teams performing in complex operational environments. Aviation, Space, and Environmental Medicine; 78(5, Suppl.):B63–70. Cummings, M. L. 2013. Man versus nachine. (under review 2014). Cummings, M. L., and B. Donmez. 2013. Metrics for supervisory control system evaluation. Oxford Handbook of Cognitive Engineering, J. Lee and A. Kirlik, eds. New York, NY: Oxford University Press, 367–378. Cummings, M. L., S. Bruni, and P. J. Mitchell. 2010. Human supervisory control challenges in network-centric operations. Reviews of Human Factors and Ergonomics, 6:34–78. doi:10.1518/155723410X12849346788660. Defense Science Board. 2012. Task Force Report: The Role of Autonomy in DoD Systems. Office of the Under Secretary of Defense for Acquisition, Technology and Logistics: Washington, DC. Dekker, S. W. A., and D. D. Woods. 2002. MABA_MABA or abracadabra? Progress in human-automation coordination. Cognition, Technology & Work, 4(4):240–244. de Winter, J., and D. Dodou. 2014. Why the Fitts list has persisted throughout the history of function allocation. Cognition, Technology & Work, 16:1–11. Donmez, B., P. E. Pina and M. L. Cummings. 2009. Evaluation criteria for human- automation performance metrics. In Performance Evaluation and Benchmarking of Intelligent Systems, R. Madhavan, E. Tunstel, and E. Messina, eds. New York: Springer Science+Business Media. doi:10.1007/978-1-4419-0492-8. Dourish, P. 2001. Where the Action Is: The Foundations of Embodied Interaction. Cambridge, MA: MIT Press.
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APPENDIX C 81 Entin, E. E., and E. B. Entin. 2001. Measures for evaluation of team processes and performance in experiments and exercises. Proceedings of the 6th International Command and Control Research and Technology Symposium, U.S. Naval Academy, Annapolis, MD. Falk, E.B., M. B. O’Donnell, and M. D. Lieberman. 2012. Getting the word out: Neural correlates of enthusiastic message propagation. Frontiers in Human Neuroscience, 6:313. Falk, E.B., E. T. Berkman, T. Mann, B. Harrison, and M. D. Lieberman. 2010. Predicting persuasion-induced behavior change from the brain. Journal of Neuroscience, 30: 8421- 8424. Fiore, S., and J. Schooler. 2004. Process mapping and shared cognition: Teamwork and the development of shared problem models. In Team Cognition: Understanding the Factors that Drive Process and Performance, E. Salas and S. Fiore, eds. American Psychological Association. Fischhoff, B. 1975. Hindsight ≠ foresight: The effect of outcome knowledge on judgment under uncertainty. Journal of Experimental Psychology: Human Perception and Performance, 1:288–299. Fishelson, M., and D. Geiger. 2002. Exact genetic linkage computations for general pedigrees. Bioinformatics, 18(12):s189-s198. Fitts, P. M., ed. 1951. Human Engineering for an Effective Air Navigation and Traffic Control System. Washington, DC: National Research Council. Flemisch, F, C. A. Adams, S. R. Conway, K. H. Goodrich, M. T. Palmer, and P. C. Schutte. 2003. The H-Metaphor as a Guideline for Vehicle Automation and Interaction (Report no. NASA/TM—2003-212672). Hampton, VA: NASA, Langley Research Center. Forbes-Riley, K., and D. Litman. 2011. When does disengagement correlate with learning in spoken dialog computer tutoring? In Artificial Intelligence in Education, 22(2): 81–89. Gal, Y., B. Grosz, S. Kraus, A. Pfeffer, and S. Shieber. 2010. Agent decision making in open mixed networks. Artificial Intelligence, 174(18):1460–1480. Gerson, A. D., L. C. Parra, and P. Sajda. 2006. Cortically coupled computer vision for rapid image search. IEEE Transactions on Neural Systems and Rehabilitation Engineering : A Publication of the IEEE Engineering in Medicine and Biology Society, 14(2):174–179. doi:10.1109/TNSRE.2006.875550. Gigerenzer, G. 2008. Why heuristics work. Perspectives on Psychological Science, 3(1):20-29.
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82 Complex Operational Decision Making in Networked Systems of Humans and Machines Gigerenzer, G., P. M. Todd, and the ABC Research Group. 1999. Simple Heuristics that Make Us Smart. New York: Oxford University Press. Gigerenzer, G., and D. G. Goldstein. 1996. Reasoning the fast and frugal way: Models of bounded rationality. Psychological Review, 103(4):650–669. Grant, J., S. Kraus, and D. Perlis. 2005. Formal Approaches to Teamwork. In We Will Show Them: Essays in Honor of Dov Gabbay, vol. 2, S. Artemov, H. Barringer, A. S. d’Avila Garcez, L. Lamb, and J. Woods, eds. London: College Publications. Grosz, B., and S. Kraus. 1996. Collaborative plans for complex group action. Artificial Intelligence, 86(2):269–357. Hammond, J.S., R. L. Keeney, and H. Raiffa, 1999. Smart Choices: A Practical Guide to Making Better Decisions. Boston, MA: Harvard Business School Press. Heckerman, D, Geiger, D, and Chickering, DM, Learning Bayesian Networks: The Combination of Knowledge and Statistical Data, Machine Learning. 1995. 20, p 197- 243. Hey, T., S. Tansley, and K. Tolle. 2009. The Fourth Paradigm: Data-intensive Scientific Discovery. Microsoft Research. Hoffman, R. R., J. D. Lee, D. D. Woods, N. Shadbolt, J. Miller, and J.M. Bradshaw. 2009. The dynamics of trust in cyberdomains. IEEE Intelligent Systems, Nov/Dec: 5-11. Hoffman, R. R., M. Johnson, J.M. Bradshaw, and A. Underbrink. 2013. Trust in automation. IEEE Intelligent Systems, 28(1):84-88. Hollan, J., E. Hutchins, and D. Kirsh. 2000. Distributed cognition: Toward a new foundation for human-computer interaction research. ACM Transactions on Computer- Human Interaction: Special Issue on Human-Computer Interaction in the New Millennium, Part 2, 7(2):174–196. Hollnagel, E., D. D. Woods, and N. Leveson, eds. 2006. Resilience Engineering: Concepts And Precepts. Aldershot, England, and Burlington, VT: Ashgate Publishing Company. Hollnagel, E., and D. Woods. 2005. Joint Cognitive Systems: Foundations of Cognitive Systems Engineering. Boca Raton, FL: Taylor & Francis. Horvitz, E. 1999. Principles of mixed-initiative user interfaces. Proceedings of Special Interest Group on Computer-Human Interaction.
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