Conference proceeding
Predictive human performance modeling made easy
Proceedings of the SIGCHI Conference on human factors in computing systems, pp 455-462
25 Apr 2004
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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200 citations in Scopus
Details
- Title
- Predictive human performance modeling made easy
- Creators
- Bonnie JohnKonstantine PrevasDario SalvucciKen Koedinger
- Publication Details
- Proceedings of the SIGCHI Conference on human factors in computing systems, pp 455-462
- Conference
- SIGCHI Conference on human factors in computing systems
- Series
- CHI '04
- Publisher
- Association for Computing Machinery (ACM)
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Scopus ID
- 2-s2.0-4544314861
- Other Identifier
- 991014878078404721