Auditory alerts and driving: Susceptibility to audio during (automated) driving

Publication date

2020-06-05

Authors

van der Heiden, RemoISNI 0000000493300140

Editors

Advisors

Supervisors

Kenemans, J. LeonISNI 0000000390041596
Janssen, ChrisORCID 0000-0002-9849-404XISNI 0000000427320370
Donker, StellaISNI 0000000392676560

DOI

Document Type

Dissertation
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License

Abstract

This thesis investigated susceptibility of the human brain to auditory signals under different (driving) conditions and the ability of humans to act on alerts in specific contexts In Part I, three experiments were conducted to answer the main question: “How susceptible are humans to auditory stimuli?” To answer this question, we measured electroencephalogram (EEG) Event-Related Potential (ERP) responses in an oddball paradigm in (automated) driving tasks and cognitive load inducing tasks. The main finding was that automated driving and cognitive load inducing tasks can both reduce susceptibility to auditory alerts. Given this observation that auditory susceptibility is sometimes reduced and, more generally, to explore ways to support accurate human behavior while driving, in Part II, we explored interventions that might alleviate the associated potential problems. In the first experiment, we introduced early warnings, or pre-alerts, to allow drivers to anticipate a later acute imperative alert for an upcoming transition of control from the car to the human driver. The results showed that pre-alerts can support safer transitions of control. In the second experiment, we tested an intervention where visual in-car warnings were presented to indicate an upcoming, necessary lane change. Results showed that, on average, drivers were able to change lanes in time. However, at the same time, there are occasionally some drivers that did not respond in a timely manner.

Keywords

Automated driving, Autonomous cars, Auditory susceptibility, Driving simulator, EEG, fP3, P300, Pre-alerts

Citation

van der Heiden, R M A 2020, 'Auditory alerts and driving : Susceptibility to audio during (automated) driving', Doctor of Philosophy, Universiteit Utrecht, Utrecht.