Title
Improving human-machine interaction: a non invasive approach to detect emotions in car drivers
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 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
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 Oehl1298.01
Felix W. Siebert210.77
Tessa-Karina Tews361.39
Rainer Höger411.11
Hans-Rüdiger Pfister516621.51