Welcome to the InfoSci Platform
Reference Hub27
Qualitative Reasoning Approach to a Driver’s Cognitive Mental Load

Qualitative Reasoning Approach to a Driver’s Cognitive Mental Load

Shinichiro Sega, Hirotoshi Iwasaki, Hironori Hiraishi, Fumio Mizoguchi
Copyright: © 2011 |Volume: 3 |Issue: 4 |Pages: 15
ISSN: 1942-9045|EISSN: 1942-9037|EISBN13: 9781613509203|DOI: 10.4018/jssci.2011100102
Cite Article Cite Article

MLA

Sega, Shinichiro, et al. "Qualitative Reasoning Approach to a Driver’s Cognitive Mental Load." IJSSCI vol.3, no.4 2011: pp.18-32. http://doi.org/10.4018/jssci.2011100102

APA

Sega, S., Iwasaki, H., Hiraishi, H., & Mizoguchi, F. (2011). Qualitative Reasoning Approach to a Driver’s Cognitive Mental Load. International Journal of Software Science and Computational Intelligence (IJSSCI), 3(4), 18-32. http://doi.org/10.4018/jssci.2011100102

Chicago

Sega, Shinichiro, et al. "Qualitative Reasoning Approach to a Driver’s Cognitive Mental Load," International Journal of Software Science and Computational Intelligence (IJSSCI) 3, no.4: 18-32. http://doi.org/10.4018/jssci.2011100102

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

This paper explores applying qualitative reasoning to a driver’s mental state in real driving situations so as to develop a working load for intelligent transportation systems. The authors identify the cognitive state that determines whether a driver will be ready to operate a device in car navigation. In order to identify the driver’s cognitive state, the authors will measure eye movements during car-driving situations. Data can be acquired for the various actions of a car driver, in particular braking, acceleration, and steering angles from the experiment car. The authors constructed a driver cognitive mental load using the framework of qualitative reasoning. The response of the model was checked by qualitative simulation. The authors also verified the model using real data collected by driving an actual car. The results indicated that the model could represent the change in the cognitive mental load based on measurable data. This means that the framework of this paper will be useful for designing user interfaces for next-generation systems that actively employ user situations.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.