It is important to equip future vehicles with an onboard system capable of tracking and analyzing driver state in real-Time in order to mitigate the risk of human error occurrence in manual or semi-Autonomous driving. This study aims to provide some supporting evidence for adoption of consumer grade electronic devices in driver state monitoring. The study adopted repeated measure design and was performed in high-fidelity driving simulator. Total of 39 participants of mixed age and gender have taken part in the user trials. The mobile application was developed to demonstrate how a mobile device can act as a host for a driver state monitoring system, support connectivity, synchronization, and storage of driver state related measures from multiple devices. The results of this study showed that multiple physiological measures, sourced from consumer grade electronic devices, can be used to successfully distinguish task complexities across common driving activities. For instance, galvanic skin response and some heart rate derivatives were found to be correlated to overall subjective workload ratings. Furthermore, emotions were captured and showed to be affected by extreme driving situations.