Conference proceeding
Modeling Effects of Age in Complex Tasks: A Case Study in Driving
PROCEEDINGS OF THE TWENTY-SIXTH ANNUAL CONFERENCE OF THE COGNITIVE SCIENCE SOCIETY, pp.1197-1202
01 Jan 2004
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
While computational cognitive modeling has made great strides in addressing complex dynamic tasks, the modeling of individual differences in complex tasks remains a largely unexplored area of research. In this paper we present a straightforward approach to modeling individual differences, specifically age-related cognitive differences, in complex tasks, and illustrate the application of this approach in the domain of driving. We borrow ideas from rigorous work in the EPIC cognitive architecture (Meyer et al., 2001) and extend them to the ACT-R architecture (Anderson et al., in press) and a recently-developed ACT-R driver model (Salvucci, Boer, & Liu, 2001) to model the effects of age on driver behavior. We describe two validation studies that demonstrate how this approach accounts for two important age-related effects on driver performance, namely effects on lateral stability and brake response during both normal driving and driving while performing a secondary task.
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Details
- Title
- Modeling Effects of Age in Complex Tasks: A Case Study in Driving
- Creators
- Dario D. Salvucci - Drexel Univ, Dept Comp Sci, Philadelphia, PA 19104 USAAlex K. Chavez - Drexel Univ, Dept Comp Sci, Philadelphia, PA 19104 USAFrank J. Lee - Drexel University
- Contributors
- K Forbus (Editor)D Gentner (Editor)T Regier (Editor)
- Publication Details
- PROCEEDINGS OF THE TWENTY-SIXTH ANNUAL CONFERENCE OF THE COGNITIVE SCIENCE SOCIETY, pp.1197-1202
- Conference
- TWENTY-SIXTH ANNUAL CONFERENCE OF THE COGNITIVE SCIENCE SOCIETY, 26th
- Publisher
- Taylor & Francis
- Number of pages
- 6
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Digital Media
- Identifiers
- 991019170485704721
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- Web of Science research areas
- Computer Science, Artificial Intelligence
- Language & Linguistics
- Psychology
- Psychology, Experimental