Driver’s Mental Workload Measurement Concerning Cognitive Channels
| Autor: | Toshihiro Hiraoka, Weiya Chen, Tetsuo Sawaragi |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Working memory Commercial vehicle Computer science 020208 electrical & electronic engineering Applied psychology Driving simulator Workload measurement Workload Cognition 02 engineering and technology Driving safety InformationSystems_MODELSANDPRINCIPLES 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Communication channel |
| Zdroj: | SICE |
| DOI: | 10.23919/sice48898.2020.9240327 |
| Popis: | With the development of automated driving technologies, human factors in the automated driving domain are getting more and more attention for a balanced implementation in commercial vehicle models. One influential human factor is mental workload. The driver’s mental workload is crucial for driving safety; if the driver is under too high mental workload, he/she cannot execute proper action timely. In the proposed model, the mental workload is affected by different cognitive channels: visual, spatial, and verbal. In this paper, the relationships among different cognitive channels concerning the driver’s mental workload are studied in a driving simulator experiment. Physiological data (pupil diameter), secondary task performance, and NASA-TLX are used for the mental workload measurement. The results show that during manual driving, the driver’s mental workload in the visual cognitive channel is the highest, followed by the mental workload in the spatial cognitive channel, and the mental workload in the verbal cognitive channel is the lowest. |
| Databáze: | OpenAIRE |
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