Predicting the effects of in-car interfaces on driver behavior using a cognitive architecture.

Author(s)
Salvucci, D.D.
Year
Abstract

When designing and evaluating “in-car” user interfaces for drivers, it is essential to determine what effects these interfaces may have on driver behaviour and performance. This paper describes a novel approach to predicting effects of in-car interfaces by modelling behaviour in a cognitive architecture. A cognitive architecture is a theoretical framework for building computational models of cognition and performance. The proposed approach centers on integrating a user model for the interface with an existing driver model that accounts for basic aspects of driver behaviour (e.g., steering and speed control). By running the integrated model and having it interact with the interface while driving, we can generate a priori predictions of the effects of interface use on driver performance. The paper illustrates the approach by comparing four representative dialling interfaces for an in-car, hands-free cellular phone. It also presents an empirical study that validates several of the qualitative and quantitative predictions of the model. (Author/publisher)

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Publication

Library number
20101557 ST [electronic version only]
Source

In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems: CHI 2001, New York, ACM Press, p. 120-127, 16 ref.

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