Assessment of drivers' workload: performance, subjective and physiological indices
By Karel A. Brookhuis, D. de Waard. 2001
148 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/7d1b8db3a2653174e927023ad32c1d8864c178ac
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Bruce Mehler
- Bryan Reimer
- Joseph F. Coughlin
- Jeffery A. Dusek
- Carlos Busso
- Yang Zheng
- A. Sathyanarayana
- John H. L. Hansen
Citations in the corpus
- Driver Modeling for Detection and Assessment of Driver Distraction: Examples from the UTDrive Test Bed (2017, background): “Failing to accomplish these tasks decreases the drivers’ situational awareness, increasing the chances of accidents [55], [56].”
- Impact of Incremental Increases in Cognitive Workload on Physiological Arousal and Performance in Young Adult Drivers (2009, background): “Workload can be measured in a variety of ways, including performance-based measures, self-report, behavioral observation, and by physiological measures (1, 2).”
- Sensitivity of Physiological Measures for Detecting Systematic Variations in Cognitive Demand From a Working Memory Task (2012, background): “Approaches to measuring workload are generally grouped into subjective (self-report or observer ratings), performance, or physiological methods (Brookhuis & de Waard, 2001; O’Donnel & Eggemeier, 1986; Wickens & Hollands, 2000).”