Calibrating trust to increase the use of automated systems in a vehicle

Siddartha Khastgir, Stewart Birrell, Gunwant Dhadyalla, Paul Jennings

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

16 Citations (Scopus)


While accident data show that human error is the cause of most of the on-road accidents, the move towards assisting or replacing the human driver with an automated system is not a straightforward one. Industries like aerospace, manufacturing, process etc. have a high penetration of automated systems; however, the automotive industry provides new challenges due to different and more dynamic interactions between the actors (driver, vehicle and environment). To reap benefits from the automated systems, drivers have to use the automated systems. Drivers? trust in automated systems is one of the most important factors influencing drivers? use of automated systems. Trust on automated systems is a dynamic construct, which can change with experience. While discussing various factors which influence drivers? trust on automated systems, this paper discusses the changing nature of trust, i.e., calibration of trust and the possible interventions to calibrate trust on automated systems to an appropriate level.
Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing
PublisherSpringer-Verlag London Ltd
Number of pages12
ISBN (Electronic)978-3-319-41682-3
ISBN (Print)978-3-319-41681-6
Publication statusE-pub ahead of print - 7 Jul 2016
Externally publishedYes

Publication series

NameAdvances in Intelligent Systems and Computing


  • Automated systems
  • Calibration of trust
  • Driver-automation interaction
  • Driver-in-the-loop


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