Improving Human-Machine Interaction: A Non-Invasive Approach to Detect Emotions in Car Drivers
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
As cars become increasingly computerized, automatic emotion detection and affective computing provides a promising basis for future-oriented human-computer interaction (HCI) in cars. However, we are still facing severe problems when trying to detect the users' emotional state reliably. This experimental study investigated grip-strength as a new non-invasive method to detect emotions directly in an automobile context. A positive emotion (happiness) and a negative emotion (anger) were examined regarding their influence on grip-strength applied to the steering wheel. Results confirmed and extended preliminary findings: Drivers' grip-strength slightly increased while driving a car when happiness was experienced and especially decreased when anger was experienced. Implications for further research as well as for praxis are outlined.
Original language | English |
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Title of host publication | Human-computer Interaction : Towards Mobile and Intelligent Interaction Environments : 14th International Conference, HCI International 2011, Orlando, FL, USA, July 9-14, 2011; Proceedings, Part III |
Editors | Julie A. Jacko |
Number of pages | 9 |
Publisher | Springer |
Publication date | 24.06.2011 |
Pages | 577-585 |
ISBN (print) | 978-3-642-21615-2 |
ISBN (electronic) | 978-3-642-21616-9 |
DOIs | |
Publication status | Published - 24.06.2011 |
Event | 14th International Conference on Human-Computer Interaction - HCI International 2011 - Orlando, United States Duration: 09.07.2011 → 14.07.2011 Conference number: 14 http://2011.hci.international/ |
- Business psychology - affective computing, Emotion detection in cars, human-centered design, human-computer interaction