On-line driver workload estimation: towards an adaptive human machine interface in the car of tomorrow

Verwey, Willem B. (2000) On-line driver workload estimation: towards an adaptive human machine interface in the car of tomorrow. Ergonomics, 43 (2). pp. 187-209. ISSN 00140139

PDF
Restricted to UT campus only: Request a copy
1616Kb

Abstract:	In order to develop a driver-car interface that adapts the presentation of messages generated by in-vehicle information systems to driver workload, two experiments investigated potential determinants of driver visual and mental workload as indicated by performance on two secondary tasks. Experiment 1 suggested that road situation is a major determinant of visual and mental workload of the driver and that the processing resources of older drivers are somewhat more limited than those of younger and middle-aged drivers. Familiarity with the area of driving (when guided) and time of day (associated with traffic density) showed no secondary task effects. Experiment 2 showed that the categorization of road situations, proposed in Experiment 1, could underlie adaptation of visually loading messages to the workload incurred by driving. This was not found with respect to mentally loading messages.
Item Type:	Article
Copyright:	© 2000 Taylor & Francis
Link to this item:	http://purl.utwente.nl/publications/55539
Official URL:	http://dx.doi.org/10.1080/001401300184558
Export this item as:	BibTeX EndNote HTML Citation Reference Manager

Show download statistics for this publication

Repository Staff Only: item control page