Print Email Facebook Twitter Physiological effects of adaptive cruise control behaviour in real driving Title Physiological effects of adaptive cruise control behaviour in real driving Author Brouwer, A.M. Snelting, A. Jaswa, M. Flascher, O. Krol, L. Zander, T. Publication year 2017 Abstract We examined physiological responses to behavior of an Adaptive Cruise Control (ACC) system during real driving. ACC is an example of automating a task that used to be performed by the user. In order to preserve the link between the user and an automated system such that they work together optimally, physiological signals reflecting mental state may be useful. We asked 15 participants to use an ACC at designated times while driving a track. When the ACC was activated, the car decelerated either strongly or softly, which was either according to expectation or not. Heart rate, eye blinks, and brain signals (EEG) were recorded. Heart rate and blink duration were the same following the announcement of an upcoming expected or unexpected deceleration profile. Heart rate and blink duration increased when a strong compared to a soft deceleration profile was announced, consistent with a state of arousal or startle. This was only found for the first half of the trials, when the driver was expected to be more alert and engaged (as also evidenced by decreasing heart rate, and increasing EEG alpha and blink duration over the trials). We conclude that for ACC behavior that is relevant for the driver, heart rate and blink duration may be used as a source of information about mental state elicited by the ACC, which could be used to evaluate driving experience. © 2017 Association for Computing Machinery. ACM SIGAI; ACM SIGCHI Subject Human & Operational ModellingPCS - Perceptual and Cognitive SystemsELSS - Earth, Life and Social SciencesAdaptive automationAlphaAutomation surpriseDrivingEEGEye blinkHeart rateMental state monitoringPassive BCIPhysiologyAdaptive control systemsAutomationBrain computer interfaceCruise controlElectroencephalographyHeartPhysiological modelsPhysiologyAdaptive automationAlphaDrivingEye blinkHeart ratesMental statePassive BCIAdaptive cruise control To reference this document use: http://resolver.tudelft.nl/uuid:c642f686-4d04-41a7-979d-8ba70631e550 DOI https://doi.org/10.1145/3038439.3038441 TNO identifier 756683 Publisher Association for Computing Machinery, Inc ISBN 9781450349048 Source 1st ACM Workshop on An Application-Oriented Approach to BCI Out of the Laboratory, BCIforReal 2017. 13 March 2017, 15-19 Bibliographical note Funding details: W911NF-10-D-0002, ARL, Army Research Laboratory Funding text: Thanks to Dehlia Willemse, Ruud van de Bor, Maarten Stegeman, Jan van Erp, Marieke Martens and Victor Kallen; and to all our participants. This research was funded by the U.S. Army Research Laboratory and was accomplished under Contract Number W911NF-10-D-0002. Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.