| Literature DB >> 25857673 |
Henrik Wiberg1, Emma Nilsson2, Per Lindén2, Bo Svanberg2, Leo Poom3.
Abstract
We measured physiological variables on nine car drivers to capture moderate magnitudes of mental load (ML) during driving in prolonged and repeated city and highway field conditions. Ecological validity was optimized by avoiding any artificial interference to manipulate drivers ML, drivers were alone in the car, they were free to choose their paths to the target, and the repeated drives familiarized drivers to the procedure. Our aim was to investigate if driver's physiological variables can be reliably measured and used as predictors of moderate individual levels of ML in naturally occurring unpredictably changing field conditions. Variables investigated were: heart-rate, skin conductance level, breath duration, blink frequency, blink duration, and eye fixation related potentials. After the drives, with support from video uptakes, a self-rating and a score made by external raters were used to distinguish moderately high and low ML segments. Variability was high but aggregated data could distinguish city from highway drives. Multivariate models could successfully classify high and low ML within highway and city drives using physiological variables as input. In summary, physiological variables have a potential to be used as indicators of moderate ML in unpredictably changing field conditions and to advance the evaluation and development of new active safety systems.Keywords: Car driving; Field conditions; Mental load; Multivariate models; Physiology; Workload
Mesh:
Year: 2015 PMID: 25857673 DOI: 10.1016/j.biopsycho.2015.03.017
Source DB: PubMed Journal: Biol Psychol ISSN: 0301-0511 Impact factor: 3.251