Using fNIRS to Verify Trust in Highly Automated Driving

Trust in automation is crucial for the safe and appropriate adoption of automated driving technology. Current research methods to measure trust mainly rely on subjective scales, with several intrinsic limitations. This empirical experiment proposes a novel method objectively, using functional near-infrared spectroscopy (fNIRS). Through manipulating participants’ expectations regarding credibility, we have induced successfully measured opposing levels automation. Most notably, our results evidence two separate yet interrelated cortical mechanisms distrust. demonstrably linked decreased monitoring working memory, whereas distrust event-related strongly tied affective (or emotional) mechanisms. paper that situation awareness are during usage. Our findings developing future driver state technology mitigates impact inappropriate reliance, or over trust, systems.