Page 49 - Innovations in Intelligent Machines
P. 49

Predicting Operator Capacity for Supervisory Control of Multiple UAVs  37
                            2. S. Dixon, C. Wickens, and D. Chang, “Mission Control of Multiple Unmanned
                               Aerial Vehicles: A Workload Analysis,” Human Factors, in press.
                            3. A.T. Welford, “The psychological refractory period and the timing of high-speed
                               performance - a review and a theory,” British Journal of Psychology, vol. 43,
                               pp. 2–19, 1952.
                            4. D.E. Broadbent, Perception and Communication. Oxford: Pergamon, 1958.
                            5. H.A. Ruff, S. Narayanan, and M.H. Draper, “Human Interaction with Levels of
                               Automation and Decision-Aid Fidelity in the Supervisory Control of Multiple
                               Simulated Unmanned Air Vehicles,” Presence, vol. 11, pp. 335–351, 2002.
                            6. S. Dixon, C.D. Wickens, and D. Chang, “Unmanned Aerial Vehicle Flight Con-
                               trol: False Alarms Versus Misses,” presented at Humans Factors and Ergonomics
                               Society 48th Annual Meeting, New Orleans, 2004.
                            7. M.L. Cummings and D. Morales, “UAVs as Tactical Wingmen: Control Methods
                               and Pilots’ Perceptions,” in Unmanned Systems, vol. February, 2005.
                            8. S.L. Howitt and D. Richards, “The Human Machine Interface for Airborne Con-
                               trol of UAVs,” presented at 2nd AIAA “Unmanned Unlimited” Systems, Tech-
                               nologies, and Operations—Aerospace, Land, and Sea Conference and Workshop,
                               San Diego, CA, 2003.
                            9. M.L. Cummings and S. Guerlain, “Developing Operator Capacity Estimates for
                               Supervisory Control of Autonomous Vehicles,” Human Factors, in press.
                           10. D.R. Olsen and S.B. Wood, “Fan-out: Measuring Human Control of Multiple
                               Robots,” presented at CHI2004, Vienna, Austria, 2004.
                           11. D.R. Olsen and M.A. Goodrich, “Metrics for Evaluating Human-Robot Interac-
                               tions,” presented at Performance Metrics for Intelligent Systems, Gaithersburg,
                               MD, 2003.
                           12. M.L. Cummings, “The Need for Command and Control Instant Message Adap-
                               tive Interfaces: Lessons Learned from Tactical Tomahawk Human-in-the-Loop
                               Simulations,” CyberPsychology and Behavior vol. 7, 2004.
                           13. M.L. Cummings and P.M. Mitchell, “Managing Multiple UAVs through a Time-
                               line Display,” presented at AIAA InfoTech, Arlington, VA, 2005.
                           14. T.B. Sheridan and W.L. Verplank, “Human and Computer Control of Under-
                               sea Teleoperators,” MIT, Cambridge, Man-Machine Systems Laboratory Report
                               1978.
                           15. G. Osga, K. Van Orden, N. Campbell, D. Kellmeyer, and D. Lulue, “Design
                               and Evaluation of WarfighterTask Support Methods in a Multi-Modal Watch-
                               station,” SPAWAR, San Diego 1874, 2002.
                           16. M.L. Cummings and P.J. Mitchell, “Automated Scheduling Decision Support
                               for Supervisory Control of Multiple UAVs,” Journal of Aerospace Computing,
                               Information, and Communication, in press.
                           17. B. Hilburn, P.G. Jorna, E.A. Byrne, and R. Parasuraman, “The Effect of Adap-
                               tive Air Traffic Control (ATC) Decision Aiding on Controller Mental Work-
                               load,” in Human-automation Interaction: Research and Practice. Mahwah, NJ:
                               Lawrence Erlbaum, 1997, pp. 84–91.
                           18. M. L. Cummings, “Automation Bias in Intelligent Time Critical Decision Sup-
                               port Systems,” presented at AIAA Intelligent Systems, Chicago, IL, 2004.
   44   45   46   47   48   49   50   51   52   53   54