Improving Human-Machine Interaction: A Non-Invasive Approach to Detect Emotions in Car Drivers

Michael Oehl; Felix Siebert; Tessa-Karina Tews; Rainer Höger; Hans-Rüdiger Pfister

doi:10.1007/978-3-642-21616-9

Improving Human-Machine Interaction: A Non-Invasive Approach to Detect Emotions in Car Drivers

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › Begutachtung

25 Zitate (Scopus)

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.

Originalsprache	Englisch
Titel	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
Redakteure/-innen	Julie A. Jacko
Seitenumfang	9
Herausgeber (Verlag)	Springer Verlag
Erscheinungsdatum	24.06.2011
Seiten	577-585
ISBN (Print)	978-3-642-21615-2
ISBN (elektronisch)	978-3-642-21616-9
DOIs	https://doi.org/10.1007/978-3-642-21616-9
Publikationsstatus	Erschienen - 24.06.2011
Veranstaltung	14th International Conference on Human-Computer Interaction - HCI International 2011 - Orlando, USA / Vereinigte Staaten Dauer: 09.07.2011 → 14.07.2011 Konferenznummer: 14 http://2011.hci.international/

Fachgebiete und Schlagwörter

Wirtschaftspsychologie

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10.1007/978-3-642-21616-9

Forschungsschwerpunkt Psychonik
Höger, R. (Wissenschaftliche Projektleiter*in), Oehl, M. (Projektmitarbeiter*in), Frehse, B. (Projektmitarbeiter*in), Tews, T.-K. (Projektmitarbeiter*in), Rheker, T. (Projektmitarbeiter*in), Wiethof, M. (Projektmitarbeiter*in) & Wollstädter, S. (Projektmitarbeiter*in)
Niedersächsisches Ministerium für Wissenschaft und Kultur
16.07.08 → 23.07.13
Projekt: Forschung

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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 (Hrsg.), 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 (S. 577-585). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 6763 LNCS, Nr. PART 3). Springer Verlag. https://doi.org/10.1007/978-3-642-21616-9

Oehl, Michael ; Siebert, Felix ; Tews, Tessa-Karina et al. / Improving Human-Machine Interaction : A Non-Invasive Approach to Detect Emotions in Car Drivers. 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. Hrsg. / Julie A. Jacko. Springer Verlag, 2011. S. 577-585 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

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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",

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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 (Hrsg.), 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), Nr. PART 3, Bd. 6763 LNCS, Springer Verlag, S. 577-585, 14th International Conference on Human-Computer Interaction - HCI International 2011, Orlando, USA / Vereinigte Staaten, 09.07.11. https://doi.org/10.1007/978-3-642-21616-9

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. Hrsg. / Julie A. Jacko. Springer Verlag, 2011. S. 577-585 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 6763 LNCS, Nr. PART 3).

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › Begutachtung

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.

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KW - affective computing

KW - Emotion detection in cars

KW - human-centered design

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PB - Springer Verlag

Y2 - 9 July 2011 through 14 July 2011

ER -

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, Hrsg., 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. S. 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

Improving Human-Machine Interaction: A Non-Invasive Approach to Detect Emotions in Car Drivers

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Forschungsschwerpunkt Psychonik

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