Abstract
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.
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Oehl, M., Siebert, F.W., Tews, TK., Höger, R., Pfister, HR. (2011). Improving Human-Machine Interaction – A Non Invasive Approach to Detect Emotions in Car Drivers. In: Jacko, J.A. (eds) Human-Computer Interaction. Towards Mobile and Intelligent Interaction Environments. HCI 2011. Lecture Notes in Computer Science, vol 6763. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21616-9_65
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DOI: https://doi.org/10.1007/978-3-642-21616-9_65
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