title: Violations and errors during simulation-based driver training.
abstract: The effectiveness of virtual driving instruction can increase when techniques that automatically distinguish between violations and errors are available, two behaviours requiring different types of remediation. This study reports the analysis of the objectively measured performance of 520 participants completing a simulation-based training programme. Factor analysis of failure reasons showed that violations and errors were the primary underlying factors. Men committed more violations and women made more errors; the magnitude of sex differences corresponded to the factor loadings. Factor analysis of the mean task completion times yielded a factor that can be described as the extent to which motivation for speed resulted in quicker task execution. Quicker participants completed more tasks, committed more violations, but made fewer errors. Participants reduced errors during forced-paced driving and increased speed during self-paced driving. The authors would recommend exploiting the distinction between violations and errors by developing interfaces and feedback for both types of aberration.
authors.affiliation: BioMechanical Engineering Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Mekelweg 2, 2628 CD, Delft, The Netherlands. J.C.F.deWinter@TUDelft.nl
authors.forename: J C F
authors.initials: JC
authors.lastname: de Winter
authors.forename: P A
authors.initials: PA
authors.lastname: Wieringa
authors.forename: J
authors.initials: J
authors.lastname: Kuipers
authors.forename: J A
authors.initials: JA
authors.lastname: Mulder
authors.forename: M
authors.initials: M
authors.lastname: Mulder
mesh_terms: D000063:Accidents, Traffic; D001334:Automobile Driving / Q000193:education*; D003198:Computer Simulation; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D008297:Male; D012737:Sex Factors; D013647:Task Performance and Analysis; D013663:Teaching