Improving Human-Machine Interaction: A Non-Invasive Approach to Detect Emotions in Car Drivers

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review


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 languageEnglish
Title of host publicationHuman-computer Interaction : Towards Mobile and Intelligent Interaction Environments : 14th International Conference, HCI International 2011, Orlando, FL, USA, July 9-14, 2011; Proceedings, Part III
EditorsJulie A. Jacko
Number of pages9
Publication date24.06.2011
ISBN (Print)978-3-642-21615-2
ISBN (Electronic)978-3-642-21616-9
Publication statusPublished - 24.06.2011
Event14th International Conference on Human-Computer Interaction - HCI International 2011 - Orlando, United States
Duration: 09.07.201114.07.2011
Conference number: 14

    Research areas

  • Business psychology - affective computing, Emotion detection in cars, human-centered design, human-computer interaction