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
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Improving Human-Machine Interaction : A Non-Invasive Approach to Detect Emotions in Car Drivers. / Oehl, Michael; Siebert, Felix; Tews, Tessa-Karina et al.
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. ed. / Julie A. Jacko. Springer, 2011. p. 577-585 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6763 LNCS, No. PART 3).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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RIS
TY - CHAP
T1 - Improving Human-Machine Interaction
T2 - 14th International Conference on Human-Computer Interaction - HCI International 2011
AU - Oehl, Michael
AU - Siebert, Felix
AU - Tews, Tessa-Karina
AU - Höger, Rainer
AU - Pfister, Hans-Rüdiger
N1 - Conference code: 14
PY - 2011/6/24
Y1 - 2011/6/24
N2 - 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.
AB - 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.
KW - Business psychology
KW - affective computing
KW - Emotion detection in cars
KW - human-centered design
KW - human-computer interaction
UR - http://www.scopus.com/inward/record.url?scp=79960305779&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-21616-9
DO - 10.1007/978-3-642-21616-9
M3 - Article in conference proceedings
SN - 978-3-642-21615-2
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 577
EP - 585
BT - Human-computer Interaction : Towards Mobile and Intelligent Interaction Environments
A2 - Jacko, Julie A.
PB - Springer
Y2 - 9 July 2011 through 14 July 2011
ER -