Analysis of Autonomic Indexes on Drivers' Workload to Assess the Effect of Visual ADAS on User Experience and Driving Performance in Different Driving Conditions
Advanced driver assistance systems (ADASs) allow information provision through visual, auditory, and haptic signals to achieve multidimensional goals of mobility. However, processing information from ADAS requires operating expenses of mental workload that drivers incur from their limited attentiona...
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Veröffentlicht in: | Journal of computing and information science in engineering 2018-09, Vol.18 (3) |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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