Investigating Sensory modalities Used in Fatigue Driver Warning Systems and Drivers’ Preferred Sensory modalities for Warning System

Authors

  • S. Sulaiman Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Perak Darul Ridzuan, Malaysia
  • F. S. Mohd Zuki Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Perak Darul Ridzuan, Malaysia

Keywords:

fatigue, drivers, warning system, multisensory modalities, safety-critical situations

Abstract

Fatigue and drowsiness are two conditions that are cohesively linked together. Driving while feeling fatigue or drowsy may increase the chance to end up in a serious accident that causes fatality or serious injuries. Many detection and monitoring systems have been designed and developed for fatigue drivers, however, not many studies are focusing on the sensory modalities to be used as feedback for a warning system to alert fatigue drivers which is important as it could shorten the drivers’ response time, balance out mental workload of drivers, and decrease the miss of warning by providing multiple channels for receiving information. The aim of this paper is to find out the existing warning systems to alert fatigue drivers and the feedback sensory modalities that is offered for each product by literature review. This paper is also investigating the users preferences of the sensory modalities for an in-car warning system by a survey of 30 male and female young drivers. From the result of the study, the preference and use of sensory modalities are discussed in reference to the recommended sensory modalities by previous studies. This study helps in determining the direction of the future work of the whole research in designing the best combination of multisensory modalities in a warning system using the optimum feedback signal for each sensory modality.

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Published

2020-10-31

How to Cite

Sulaiman, S. ., & Mohd Zuki , F. S. . (2020). Investigating Sensory modalities Used in Fatigue Driver Warning Systems and Drivers’ Preferred Sensory modalities for Warning System . Journal of Advanced Research in Applied Mechanics, 14(1), 1–11. Retrieved from https://akademiabaru.com/submit/index.php/aram/article/view/1738
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