Abstract
Abstract— Recent developments in advanced driving assistance systems (ADAS) that rely on some level of autonomy
have led the automobile industry and research community to
investigate the impact they might have on driving performance.
However, most of the research performed so far is based
on simulated environments. In this study we investigated the
behavior of drivers in a vehicle with automated driving system
(ADS) capabilities in a real life driving scenario. We analyzed
their response to a take over request (TOR) at two different
driving speeds while being engaged in non- driving-related tasks
(NDRT). Results from the performed experiments showed that
driver reaction time to a TOR, gaze behavior and self-reported
trust in automation were affected by the type of NDRT being
concurrently performed and driver reaction time and gaze
behavior additionally depended on the driving or vehicle speed
at the time of TOR.
| Original language | English |
|---|---|
| Title of host publication | IEEE Proceedings Intelligent Vehicles Symposium |
| Number of pages | 8 |
| Publication status | Published - 2021 |
Fields of science
- 303 Health Sciences
- 303008 Ergonomics
- 201306 Traffic telematics
- 202031 Network engineering
- 202036 Sensor systems
- 202038 Telecommunications
- 202040 Transmission technology
- 203 Mechanical Engineering
- 211908 Energy research
- 211911 Sustainable technologies
- 102 Computer Sciences
- 102001 Artificial intelligence
- 102002 Augmented reality
- 102003 Image processing
- 102013 Human-computer interaction
- 102015 Information systems
- 102019 Machine learning
- 102021 Pervasive computing
- 102024 Usability research
- 102026 Virtual reality
- 102029 Practical computer science
- 102034 Cyber-physical systems
- 501026 Psychology of perception
- 501 Psychology
- 501025 Traffic psychology
- 201305 Traffic engineering
- 202 Electrical Engineering, Electronics, Information Engineering
- 202003 Automation
- 202030 Communication engineering
- 202034 Control engineering
- 202035 Robotics
- 202037 Signal processing
- 202041 Computer engineering
- 203004 Automotive technology
- 211902 Assistive technologies
- 211909 Energy technology
- 211917 Technology assessment
- 501030 Cognitive science
JKU Focus areas
- Digital Transformation
- Sustainable Development: Responsible Technologies and Management
