Abstract
Past road safety studies have mostly focused on identification of scenarios involving high accident risk. However, risky scenarios only describe accident outcomes rather than actual causality. Discussion of driver's cognitive interaction when driving is a necessity for deeper study on the nature of accidents. To comprehend the entire structure of mental workload, this research proposes a framework for studying mental models that incorporates task demand and motivated capability. Understanding the contributing factors of mental model and the individual difference in task demand and motivated capability can help evaluate the mental workload. In addition, integrating mental model with accident chain analysis enables exploring information net effect on mental workload. Thus, optimized information can hopefully be defined and provided to drivers in different scenarios without causing additional risk of accidents.
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