The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Predictive human performance modeling made easy
Abstract
Although engineering models of user behavior have enjoyed a rich history in HCI, they have yet to have a widespread impact due to the complexities of the modeling process. In this paper we describe a development system in which designers generate predictive cognitive models of user behavior simply by demonstrating tasks on HTML mock-ups of new interfaces. Keystroke-Level Models are produced automatically using new rules for placing mental operators, then implemented in the ACT-R cognitive architecture. They interact with the mock-up through integrated perceptual and motor modules, generating behavior that is automatically quantified and easily examined. Using a query-entry user interface as an example [19], we demonstrate that this new system enables more rapid development of predictive models, with more accurate results, than previously published models of these tasks.
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Cites
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Anderson, J. R., & Lebiere, C. J. (2014) · Psychology Press eBooks · doi:10.4324/9781315805696 · Cited by 2,173
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The keystroke-level model for user performance time with interactive systems
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Self-citation
Cited by
(2010) · Cited by 186
Model-based evaluation of expert cell phone menu interaction
Amant, R. S., Horton, T. E., & Ritter, F. E. (2007) · ACM Transactions on Computer-Human Interaction · doi:10.1145/1229855.1229856 · Cited by 180
Leveraging characteristics of task structure to predict the cost of interruption
Iqbal, S. T., & Bailey, B. P. (2006) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1124772.1124882 · Cited by 138
A Predictive Model of Human Performance With Scrolling and Hierarchical Lists
Cockburn, A., & Gutwin, C. (2009) · Human–Computer Interaction · doi:10.1080/07370020902990402 · Cited by 125
Jastrzembski, T. S., & Charness, N. (2007) · Journal of Experimental Psychology: Applied · doi:10.1037/1076-898x.13.4.224 · Cited by 83
Metadata
- Authors
- John, B. E., Prevas, K., Salvucci, D. D., & Koedinger, K.
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2004-04-25
- Pages
- 455-462
- OpenAlex
- W2035080477
- Cited by
- 289
- References
- 29
- FWCI
- 8.93
- Type
- conference paper
- Language
- en
- Open access
- closed
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