Key result
Manual driving elicited a more challenged mental state and higher attention levels compared to autonomous driving, as assessed by physiological measures from EEG, ECG, and EDA signals.
Why the study?
Most systems evaluating driver attention use camera-based features, prompting an evaluation of physiological measures from EDA, ECG, and EEG during driving.
Does manual driving compared to autonomous driving increase mental attention state and engagement level in individuals in a simulated environment?
Does manual driving compared to autonomous driving increase mental attention state and engagement level in individuals in a simulated environment?
Physiological measures from EEG, ECG, and EDA can effectively monitor driver attention, demonstrating that manual driving is more mentally demanding than autonomous driving.
EDA-SPR may flag attention load in simulated driving; leaves open real-world reliability for driver monitoring systems.
In this paper, we consider the evaluation of the mental attention state of individuals driving in a simulated environment. We tested a pool of subjects while driving on a highway and trying to overcome various obstacles placed along the course in both manual and autonomous driving scenarios. Most systems described in the literature use cameras to evaluate features such as blink rate and gaze direction. In this study, we instead analyse the subjects' Electrodermal activity (EDA) Skin Potential Response (SPR), their Electrocardiogram (ECG), and their Electroencephalogram (EEG). From these signals we extract a number of physiological measures, including eye blink rate and beta frequency band power from EEG, heart rate from ECG, and SPR features, then investigate their capability to assess the mental state and engagement level of the test subjects. In particular, and as confirmed by statistical tests, the signals reveal that in the manual scenario the subjects experienced a more challenged mental state and paid higher attention to driving tasks compared to the autonomous scenario. A different experiment in which subjects drove in three different setups, i.e., a manual driving scenario and two autonomous driving scenarios characterized by different vehicle settings, confirmed that manual driving is more mentally demanding than autonomous driving. Therefore, we can conclude that the proposed approach is an appropriate way to monitor driver attention.
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Najafi et al. (2023) studied Driver attention. Manual driving vs. Autonomous driving was evaluated on Mental state and engagement level. Manual driving elicited a more challenged mental state and higher attention levels compared to autonomous driving, as assessed by physiological measures from EEG, ECG, and EDA signals.
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