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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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