The Community for Technology Leaders
RSS Icon
Issue No.01 - January-March (2011 vol.10)
pp: 58-62
Mary L. (Missy) Cummings , Massachusetts Institute of Technology
Kristopher M. Thornburg , Massachusetts Institute of Technology
In the push to develop smart energy systems, designers have increasingly focused on systems that measure and predict user behavior to effect optimal energy consumption. While such focus is clearly an important component in these systems' success, designers pay substantially less attention to the human on the other side of the energy system loop—the supervisors of power-generation processes. Pervasive computing will likely add to an already complex array of data streams and introduce a new layer of supervisory complexity when dynamically adapting energy management.
human supervisory control, decentralized systems, human-computer interface, smart grid, decision support, power plants
Mary L. (Missy) Cummings, Kristopher M. Thornburg, "Paying Attention to the Man behind the Curtain", IEEE Pervasive Computing, vol.10, no. 1, pp. 58-62, January-March 2011, doi:10.1109/MPRV.2011.7
1. J.S. Walker, Three Mile Island: A Nuclear Crisis in Historical Perspective, University of California Press, 2004.
2. J. Minkel, "The 2003 Northeast Blackout—Five Years Later," Scientific American, Aug. 2008; www.scientificamerican.comarticle.cfm?id=2003-blackout-five-years-later .
3. T.B. Sheridan, Telerobotics, Automation and Human Supervisory Control, MIT Press, 1992.
4. P.E. Pina et al., "Identifying Generalizable Metric Classes to Evaluate Human-Robot Teams," Proc. 3rd Ann. Conf. Human-Robot Interaction, ACM/IEEE Press, 2008, pp. 13–20.
5. C.E. Billings, Aviation Automation: The Search for a Human-Centered Approach, Lawrence Erlbaum Associates, 1997.
6. R. Parasuraman, T.B. Sheridan, and C.D. Wickens, "A Model for Types and Levels of Human Interaction with Automation," IEEE Trans. Systems, Man, and Cybernetics Part A: Systems and Humans, vol. 30, no. 3, 2000, pp. 286–297.
7. V. Riley, "A Theory of Operator Reliance of Automation," Human Performance in Automated Systems: Current Research and Trends, M. Mouloua, and R. Parasuraman eds., Lawrence Erlbaum Associates, 1994, pp. 8–14.
8. R. Parasuraman, and V. Riley, "Humans and Automation: Use, Misuse, Disuse, Abuse," Human Factors, vol. 39, no. 2, 1997, pp. 230–253.
9. P.M. Fitts, Human Engineering for an Effective Air Navigation and Traffic Control System, Nat'l Research Council, Division of Anthropology and Psychology, Committee on Aviation Psychology, 1951.
10. B.G. Silverman, "Building a Better Critic: Recent Empirical Results," IEEE Expert, vol. 7, no. 2, 1992, pp. 18–25.
11. P. Smith, E. McCoy, and C. Layton, "Brittleness in the Design of Cooperative Problem-Solving Systems: The Effects on User Performance," IEEE Trans. Systems, Man, and Cybernetics Part A: Systems and Humans, vol. 27, no. 3, 1997, pp. 360–371.
12. J. Rasmussen, "Skills, Rules, and Knowledge; Signals, Signs, and Symbols, and Other Distractions in Human Performance Models," System Design for Human Interaction, A.P. Sage ed., IEEE Press, 1987, pp. 291–300.
13. M.L. Cummings et al., "The Impact of Human-Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control," to be published in Proc. IEEE, 2011.
14. M.L. Cummings, A. Clare, and C. Hart, "The Role of Human-Automation Consensus in Multiple Unmanned Vehicle Scheduling," Human Factors, vol. 52, no. 1, 2010, pp. 17–27.
15. J.M. O'Hara et al., Human Factors Considerations with Respect to Emerging Technology in Nuclear Power Plants (NUREG/CR-6947), Nuclear Regulatory Commission, 2008.
22 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool