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 to measure trust objectively, using...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2023-01, Vol.24 (1), p.739-751
Hauptverfasser:	Perello-March, Jaume R., Burns, Christopher G., Woodman, Roger, Elliott, Mark T., Birrell, Stewart A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Atmospheric measurements Automation Electroencephalography fNIRS Functional near-infrared spectroscopy highly automated driving Infrared spectra Medical imaging Monitoring Near infrared radiation Particle measurements Reliability Situational awareness trust in automation
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