The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Response time and display rate in human performance with computers
Open accessAbstract
The pace of human-computer interaction is an important issue to computer scientists and computer users alike.Experimental results have begun to shed some light on this complex, controversml, and vital subject.This paper revmws the theory and reports on experimental results concerning display rates, response time expectations and attitudes, user productivity, and variability.The decomposition of concerns and tasks helps to clarify the issues, but substanhal effort remains before a predictive model can emerge.In general, the results indicate that frequent users prefer response times of less than a second for most tasks, and that productwlty does increase as response time decreases.However, error rates increase with too short or too long a response time.Users pick up the pace of the system, but the profile of commands may change with the speed of the system Categories and Subject Descriptors: D.2.
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Cites
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812
Speed-accuracy tradeoff and information processing dynamics
Wickelgren, W. A. (1977) · Acta Psychologica · doi:10.1016/0001-6918(77)90012-9 · Cited by 1,304
Response time in man-computer conversational transactions
Miller, R. B. (1968) · Proceedings of the December 9-11, 1968, fall joint computer conference, part I on - AFIPS '68 (Fall, part I) · doi:10.1145/1476589.1476628 · Cited by 942
Managing VM/CMS Systems for User Effectiveness
Doherty, W. J., & Kelisky, R. P. (1979) · IBM Systems Journal · doi:10.1147/sj.181.0143 · Cited by 62
Cited by
Impact of system response time on state anxiety
Guynes, J. L. (1988) · Communications of the ACM · doi:10.1145/42392.42402 · Cited by 88
A Slow Algorithm Improves Users' Assessments of the Algorithm's Accuracy
Park, J. S., Barber, R., Kirlik, A., & Karahalios, K. (2019) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3359204 · Cited by 65
Writing with AI Lowers Psychological Ownership, but Longer Prompts Can Help
Joshi, N., & Vogel, D. (2025) · Proceedings of the 7th ACM Conference on Conversational User Interfaces · doi:10.1145/3719160.3736608 · Cited by 50
Zhu, Y., Zhu, C., Wu, T., Wang, S., Zhou, Y., Chen, J., Wu, F., & Li, Y. (2025) · Education and Information Technologies · doi:10.1007/s10639-024-12898-3 · Cited by 33
Metadata
- Authors
- Shneiderman, B.
- Venue
- ACM Computing Surveys
- Published
- 1984-09-02
- Volume
- 16
- Issue
- 3
- Pages
- 265-285
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- OpenAlex
- W2104839312
- Cited by
- 347
- References
- 4
- FWCI
- 2.89
- Type
- journal article
- Language
- en
- Open access
- bronze
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