Modeling Strategic Behavior in Human-Automation Interaction: Why an "Aid" Can (and Should) Go Unused

Abstract

Task-offload aids (e.g., an autopilot, an "intelligent" assistant) can be selectively engaged by the human operator to dynamically delegate tasks to automation. Introducing such aids eliminates some task demands but creates new ones associated with programming, engaging, and disengaging the aiding device via an interface. The burdens associated with managing automation can sometimes outweigh the potential benefits of automation to improved system performance. Aid design parameters and features of the overall multitask context combine to determine whether or not a task-offload aid will effectively support the operator. A modeling and sensitivity analysis approach is presented that identifies effective strategies for human-automation interaction as a function of three task-context parameters and three aid design parameters. The analysis and modeling approaches provide resources for predicting how a well-adapted operator will use a given task-offload aid, and for specifying aid design features that ensure that automation will provide effective operator support in a multitask environment.

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References

Berg, S. L. , and Sheridan, T. B. (1986). The impact of physical and mental tasks on pilot mental workload. In Proceedings of the Twenty-First Annual Conference on Manual Control (pp. 6.1–6.26). Columbus, OH: NASA Conference Publication 2428.

Cinlar, E. (1975). Introduction to stochastic processes. Englewood Cliffs, NJ: Prentice-Hall.

Heyman, D. P. , and Sobel, M. J. (1984). Stochastic models in operations research: Volume II. Stochastic optimization. New York: McGraw-Hill.

Howard, R. A. (1960). Dynamic programming and Markov processes. New York: Wiley.

Kirlik, A. , Miller, R. A. , and Jagacinski, R. J. (in press). Supervisory control in a dynamic uncertain environment: A process model of skilled human-environment interaction. IEEE Transactions on Systems, Man and Cybernetics.

Kirlik, A. , Plamondon, B. D. , Lytton, L. , Jagacinski, R. J. , and Miller, R. A. (in press). Supervisory control in a dynamic and uncertain environment: Laboratory task and crew performance. IEEE Transactions on Systems, Man and Cybernetics.

Lytton, L. (1987). A comparison of performance by one and two person crews in a simulated supervisory control task. Unpublished master's thesis, Ohio State University, Columbus, OH.

Moray, N. (1986). Monitoring behavior and supervisory control. In K. Boff , L. Kaufman , and I. P. Thomas (Eds.), Handbook of perception and human performance (Vol. 2). New York: Wiley.

Navon, D. , and Gopher, D. (1979). On the economy of the human processing system. Psychological Review, 86, 214–255.

10.

Plamondon, B. D. (1987). Unpublished dissertation research, Ohio State University, Columbus, OH.

11.

Rouse, W. B. (1977). Human-computer interaction in multi-task situations. IEEE Transactions on Systems, Man and Cybernetics, SMC-7, 384–392.

12.

Schweickert, R. , and Boggs, G. J. (1984). Models of central capacity and concurrency. Journal of Mathematical Psychology, 28, 223–281.

13.

Senders, J. (1964). The human operator as a monitor and controller of multi degree of freedom systems. IEEE Transactions on Human Factors in Electronics, HFE-5, 2–6.

14.

Sheridan, T. B. (1987). Supervisory control. In G. Salvendy (Ed.), Handbook of human factors (pp. 1243–1268). New York: Wiley.

15.

Tulga, M. K. , and Sheridan, T. B. (1980). Dynamic decisions and workload in multi task supervisory control. IEEE Transactions on Systems, Man and Cybernetics, SMC-10, 217–233.

16.

Wickens, C. D. (1984). Multiple resources in attention. In R. Parasuraman and R. Davies (Eds.), Varieties of attention. New York: Academic.

17.

Wickens, C. D. (1987). Attention. In P. Hancock (Ed.), Human factors psychology (pp. 29–80). Amsterdam: North-Holland.