Standard
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 Verlag, 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
Harvard
Oehl, M, Siebert, F
, Tews, T-K, Höger, R & Pfister, H-R 2011,
Improving Human-Machine Interaction: A Non-Invasive Approach to Detect Emotions in Car Drivers. in JA Jacko (ed.),
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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 6763 LNCS, Springer Verlag, pp. 577-585, 14th International Conference on Human-Computer Interaction - HCI International 2011, Orlando, United States,
09.07.11.
https://doi.org/10.1007/978-3-642-21616-9
APA
Oehl, M., Siebert, F.
, Tews, T.-K., Höger, R., & Pfister, H.-R. (2011).
Improving Human-Machine Interaction: A Non-Invasive Approach to Detect Emotions in Car Drivers. In J. A. Jacko (Ed.),
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 (pp. 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). Springer Verlag.
https://doi.org/10.1007/978-3-642-21616-9
Vancouver
Oehl M, Siebert F
, Tews TK, Höger R, Pfister HR.
Improving Human-Machine Interaction: A Non-Invasive Approach to Detect Emotions in Car Drivers. In Jacko JA, editor, 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. Springer Verlag. 2011. p. 577-585. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-642-21616-9
Bibtex
@inbook{b64ad37b64cd4997b9d03c339fc3791d,
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 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.",
keywords = "Business psychology, affective computing, Emotion detection in cars, human-centered design, human-computer interaction",
author = "Michael Oehl and Felix Siebert and Tessa-Karina Tews and Rainer H{\"o}ger and Hans-R{\"u}diger Pfister",
year = "2011",
month = jun,
day = "24",
doi = "10.1007/978-3-642-21616-9",
language = "English",
isbn = "978-3-642-21615-2",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 3",
pages = "577--585",
editor = "Jacko, {Julie A.}",
booktitle = "Human-computer Interaction : Towards Mobile and Intelligent Interaction Environments",
address = "Germany",
note = "14th International Conference on Human-Computer Interaction - HCI International 2011, HCI International 2011 ; Conference date: 09-07-2011 Through 14-07-2011",
url = "http://2011.hci.international/",
}
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 Verlag
Y2 - 9 July 2011 through 14 July 2011
ER -
