Automated Driving: Towards Trustworthy and Safe Human-Machine Cooperation

Philipp Wintersberger

Research output: ThesisDoctoral thesis

Abstract

Automated vehicles are gradually entering the market and the technology promises to increase road safety and comfort, amongst other advantages. An important construct guiding humans' interaction with safety-critical systems is trust, which is especially relevant as most drivers are consumers rather than domain experts, such as pilots in aviation. The successful introduction of automated vehicles on the market requires to raise the trust of technology skeptics, but at the same time prevent overtrust. Overtrust is already suspected of having contributed to a couple of - even fatal - accidents with existing driving automation systems. Consequently, there is a need to investigate the topic of trust in the context of automated vehicles and design systems which maintain safety by preventing both distrust and overtrust, a process also called "trust calibration". (...)
Original languageEnglish
Supervisors/Reviewers
  • Riener, Andreas, Supervisor
  • Burnett, Gary, Reviewer, External person
Publication statusPublished - Apr 2020

Fields of science

  • 202017 Embedded systems
  • 102 Computer Sciences
  • 102009 Computer simulation
  • 102013 Human-computer interaction
  • 102019 Machine learning
  • 102021 Pervasive computing
  • 102022 Software development
  • 102025 Distributed systems
  • 211902 Assistive technologies
  • 211912 Product design

JKU Focus areas

  • Digital Transformation

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