TY - GEN
T1 - Employing consumer electronic devices in physiological and emotional evaluation of common driving activities
AU - Melnicuk, Vadim
AU - Birrell, Stewart
AU - Crundall, Elizabeth
AU - Jennings, Paul
PY - 2017/7/28
Y1 - 2017/7/28
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85028036795&partnerID=8YFLogxK
U2 - 10.1109/IVS.2017.7995926
DO - 10.1109/IVS.2017.7995926
M3 - Conference proceeding
AN - SCOPUS:85028036795
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 1529
EP - 1534
BT - IV 2017 - 28th IEEE Intelligent Vehicles Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th IEEE Intelligent Vehicles Symposium, IV 2017
Y2 - 11 June 2017 through 14 June 2017
ER -