Title | ||
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Improving human-machine interaction: a non invasive approach to detect emotions in car drivers |
Abstract | ||
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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 gripstrength 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. |
Year | DOI | Venue |
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2011 | 10.1007/978-3-642-21616-9_65 | HCI (3) |
Keywords | DocType | Volume |
emotional state,experimental study,improving human-machine interaction,negative emotion,new non-invasive method,positive emotion,car driver,automatic emotion detection,automobile context,future-oriented human-computer interaction,affective computing,non invasive approach,extended preliminary finding | Conference | 6763 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.43 |
References | Authors | |
2 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Michael Oehl | 1 | 29 | 8.01 |
Felix W. Siebert | 2 | 1 | 0.77 |
Tessa-Karina Tews | 3 | 6 | 1.39 |
Rainer Höger | 4 | 1 | 1.11 |
Hans-Rüdiger Pfister | 5 | 166 | 21.51 |