Abstract
This paper discusses the initial findings of an on-going study to determine the affective state of the driver using physiological measures. Incidental (writing past experiences) and integral (hazard events while driving) anger were induced and heart rate was measured throughout the simulated driving experiment. This exploratory study shows the possibility that average heart rate (i.e., beats per minute) can be used to detect both incidental and integral anger, respectively. Future research is planned to determine if the patterns of data fusion can be used by in-vehicle systems to identify specific emotions of the driver and offer counteractive feedback to reduce potential driving errors.
| Original language | English |
|---|---|
| Number of pages | 2 |
| Journal | 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (A |
| Publication status | Published - Oct 2013 |
Fields of science
- 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
- 202017 Embedded systems
- 211902 Assistive technologies
- 211912 Product design
JKU Focus areas
- Computation in Informatics and Mathematics
- Engineering and Natural Sciences (in general)