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

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

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

24 Citations (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.

Original language	English
Title of host publication	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
Editors	Julie A. Jacko
Number of pages	9
Publisher	Springer Verlag
Publication date	24.06.2011
Pages	577-585
ISBN (Print)	978-3-642-21615-2
ISBN (Electronic)	978-3-642-21616-9
DOIs	https://doi.org/10.1007/978-3-642-21616-9
Publication status	Published - 24.06.2011
Event	14th International Conference on Human-Computer Interaction - HCI International 2011 - Orlando, United States Duration: 09.07.2011 → 14.07.2011 Conference number: 14 http://2011.hci.international/

Research areas and keywords

Business psychology
affective computing
Emotion detection in cars
human-centered design
human-computer interaction

Access to Document

10.1007/978-3-642-21616-9

Forschungsschwerpunkt Psychonik
Höger, R. (Project manager, academic), Oehl, M. (Project staff), Frehse, B. (Project staff), Tews, T.-K. (Project staff), Rheker, T. (Project staff), Wiethof, M. (Project staff) & Wollstädter, S. (Project staff)
Ministry of Science and Culture of the state of Lower Saxony in Germany
16.07.08 → 23.07.13
Project: Research

Cite this

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

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. editor / Julie A. Jacko. Springer Verlag, 2011. pp. 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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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.",

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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 (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

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

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

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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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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, 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

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

Abstract

Research areas and keywords

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Projects

Forschungsschwerpunkt Psychonik

Cite this