Abstract
Both overtrust in technology and drowsy driving are safety-critical issues. Monitoring a system is a tedious task and overtrust in technology might also influence drivers' vigilance, what in turn could multiply the negative impact of both issues. The aim of this study was to investigate if trust in automation affects drowsiness. 30 participants in two age groups conducted a 45-minute ride in a level-2 vehicle on a real test track. Trust was assessed before and after the ride with a subjective trust scale. Drowsiness was captured during the experiment using the Karolinska Sleepiness Scale. Results depict, that even a short initial system exposure significantly increases trust in automated driving. Drivers who trust the automated vehicles more show larger signs of drowsiness what may negatively impact the monitoring behavior. Drowsiness detection is important for automated vehicles, and the behavior of drowsy drivers might help to infer trust in an unobtrusively way.
| Original language | English |
|---|---|
| Title of host publication | CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems |
| Place of Publication | New York, NY, USA |
| Publisher | ACM DL |
| Number of pages | 6 |
| Publication status | Published - May 2019 |
Fields of science
- 202017 Embedded systems
- 102 Computer Sciences
- 102009 Computer simulation
- 102013 Human-computer interaction
- 102019 Machine learning
- 102020 Medical informatics
- 102021 Pervasive computing
- 102022 Software development
- 102025 Distributed systems
- 211902 Assistive technologies
- 211912 Product design
JKU Focus areas
- Digital Transformation