Published September 6, 2021 | Version PREPRINT
Preprint Open

Measuring trust in automated driving using a multi-level approach to human factors

  • 1. AVL List GmbH
  • 2. University of Graz
  • 3. Graz University of Technology


As the driving is shifting towards automation, the maximization of related benefits would profit from improved user acceptance of the new technology. Studies suggest a strong connection between acceptance and trust in technical solutions. We investigate the improvement of user trust to driving automation through demonstrations that carried on a sophisticated driving simulator. The study correlates subjective data with objective psycho-physiological measurements. The multi-factorial and multivariate analysis of variance investigates the influence of learning effects and pre-experience with ADAS on trust. Results show improvement in trust through user interaction with a human-machine interface of the demonstrated AD system, hence illustrating the relevance of human-centered development processes. The conclusion is supported by the observation of driver cardiac signals.



Files (761.1 kB)

Name Size Download all
761.1 kB Preview Download

Additional details


TrustVehicle – Improved trustworthiness and weather-independence of conditional automated vehicles in mixed traffic scenarios 723324
European Commission
TEACHING – A computing toolkit for building efficient autonomous applications leveraging humanistic intelligence 871385
European Commission