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ABSTRACT
This study lays the ground work for a predictive, zero-parameter engineering model that characterizes the relationship between system delay and user performance. This study specifically investigates how system delays affects a user's selection of task strategy. Strategy selection is hypothesized to be based on a cost function combining two factors: (1) the effort required to synchronize input system availability and (2) the accuracy level afforded. Results indicate that users, seeking to minimize effort and maximize accuracy, choose among three strategies – automatic performance, pacing, and monitoring. These findings provide a systematic account of the influence of system delay on user performance, based on adaptive strategy choice drive by cost.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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1
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2
|
Bergman, H., Brinkman, A., & Koelega, H. S. (1981). System response time and problem solving behavior. Proceedings of the 25th Annual Meeting of the Human Factors Society, 749-753.
|
| |
3
|
Boies, S. J. (1974). User behavior on an interactive computer system. IBM Systems Journal, 13(1), 2-18.
|
 |
4
|
|
| |
5
|
Dannenbring, G. L. (1983). The effect of computer response time on user performance and satisfaction: A preliminary investigation. Behavior Research Methods & Instrumentation, 15(2), 213-216.
|
| |
6
|
Dannenbring, G. L. (1984). System response time and user performance. IEEE Transactions on Systems, Man, and Cybernetics, SMC-14(3), 473-478.
|
| |
7
|
Goodman, T. J., & Spence, R. (1981). The effect of computer system response time variability on interactive graphical problem solving. IEEE Transactions on Systems, Man, and Cybernetics, SMC-11(3), 207-216.
|
| |
8
|
Grossberg, M., Wiesen, R. A., & Yntema, D. B. (1976). An experiment on problem solving with delayed computer responses. IEEE Transactions on Systems, Man, and Cybernetics, SMC-6(3), 219-222.
|
| |
9
|
Johnson, E. J., & Payne, J. W. (1985). Effort and accuracy in choice. Management Science, 31 (4), 395-414.
|
| |
10
|
Kleinmuntz, D. N., & Schkade, D. A. (1989). The cognitive implications of infom~ation displays in computer-supported decision making (Working Paper 88/89- 4-11). Austin, TX: University of Texas at Austin, Graduate School of Business.
|
| |
11
|
Kosmatka, L. J. (1984). A user challenges the value of subsecond response time. Computerworld, 18(24), ID 1-8.
|
| |
12
|
Kuhmann, W. (1989). Experimental investigation of stress-inducing properties of system response times. Ergonomics, 32(3), 271-280.
|
| |
13
|
Lambert, G. N. (1984). A comparative study of system response time on program developer productivity. IBM Systems Journal, 23(1), 36-43.
|
| |
14
|
Martin, G. L., & Corl, K. G. (1986). System response time effects on user productivity. Behaviour and Information Technology, 5(1), 3-13.
|
| |
15
|
Miller, R. B. (1968). Response time in man-computer conversational transactions. Proceedings of the AFIPS Fall Joint Computer Conference, 33, 267-277.
|
| |
16
|
N~afit~en, R., Muranen, V., & Merisalo, A. (1974). Timing of expectancy peak in simple reaction time situation. Acta Psychologica, 38(6), 461-470.
|
| |
17
|
Pachella, R. G. (1974). The interpretation of reaction time in information-processing research. In B. H. Kantowitz (Ed.), Human information processing: Tutorials in performance and cognition (pp. 41-82). Hillsdale, NJ: Lawrence ~lbaum Associates.
|
| |
18
|
Rudnicky, A. I., & Quirin, J. L. (1990). Subjective re. action to system response delay: A pilot study. Unpublished manuscript, Carnegie Mellon University, School of Computer Science, Pittsburgh.
|
 |
19
|
|
| |
20
|
Sherwood, B. A., & Sherwood, J. N. (1988). The cT Language. Pittsburgh: Carnegie Mellon University.
|
| |
21
|
Siegler, R. S., & Jenkins, E. (1989). How children discover new strategies. Hillsdale, NJ: Lawrence Erlbaum Associates.
|
| |
22
|
Shneiderman, B. (1987). Response time and display rate. Designing the user interface: Strategies for effective human-computer interaction (pp. 272-309). Reading, MA: Addison-Wesley.
|
 |
23
|
|
| |
24
|
Smith, D. (1983). A business case for subsecond response time: Faster is better. Computerworld, 17(16), ID 1-11.
|
| |
25
|
Tlaadhani, A. J. (1981). Interactive user productivity. IBM Systems Journal, 20(4), 407-423.
|
| |
26
|
Wickens, C. D. (1984). Engineering psychology and human performance. Glenview, IL: Scott, Foresman and Company.
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Ling Chen , Gen-Cai Chen , Hong Chen , Jack March , Steve Benford , Zhi-Geng Pan, An HCI method to improve the human performance reduced by local-lag mechanism, Interacting with Computers, v.19 n.2, p.215-224, March, 2007
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