Emotional Human-Machine Interaction: Cues from Facial Expressions

Tessa-Karina Tews; Michael Oehl; Felix Siebert; Rainer Höger; Helmut Faasch

doi:10.1007/978-3-642-21793-7_73

Emotional Human-Machine Interaction: Cues from Facial Expressions

Tessa-Karina Tews
, Michael Oehl
, Felix Siebert
, Rainer Höger
, Helmut Faasch

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

11 Citations (Scopus)

Abstract

Emotion detection provides a promising basis for designing future-oriented human centered design of Human-Machine Interfaces. Affective Computing can facilitate human-machine communication. Such adaptive advanced driver assistance systems (ADAS) which are dependent on the emotional state of the driver can be applied in cars. In contrast to the majority of former studies that only used static recognition methods, we investigated a new dynamic approach for detecting emotions in facial expressions in an artificial setting and in a driving context. By analyzing the changes of an area defined by a number of dots that were arranged on participants' faces, variables were extracted to classify the participants' emotions according to the Facial Action Coding System. The results of our novel way to categorize emotions lead to a discussion on additional applications and limitations that frames an attempted approach of emotion detection in cars. Implications for further research and applications are outlined.

Original language	English
Title of host publication	Human Interface and the Management of Information: Interacting with Information : Symposium on Human Interface 2011, Held as a Part of HCI International 2011, Orlando, FL, USA, July 9-14, 2011, Proceedings, Part I
Editors	Michael J. Smith, Gavriel Salvendy
Number of pages	10
Place of Publication	Berlin, Heidelberg
Publisher	Springer Verlag
Publication date	2011
Pages	641-650
ISBN (Print)	978-3-642-21792-0
ISBN (Electronic)	978-3-642-21793-7
DOIs	https://doi.org/10.1007/978-3-642-21793-7_73
Publication status	Published - 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
human-centered design
human-computer interaction

Access to Document

10.1007/978-3-642-21793-7_73

Cite this

Tews, T.-K., Oehl, M., Siebert, F., Höger, R., & Faasch, H. (2011). Emotional Human-Machine Interaction: Cues from Facial Expressions. In M. J. Smith, & G. Salvendy (Eds.), Human Interface and the Management of Information: Interacting with Information: Symposium on Human Interface 2011, Held as a Part of HCI International 2011, Orlando, FL, USA, July 9-14, 2011, Proceedings, Part I (pp. 641-650). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6771 LNCS, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-642-21793-7_73

Tews, Tessa-Karina ; Oehl, Michael ; Siebert, Felix et al. / Emotional Human-Machine Interaction : Cues from Facial Expressions. Human Interface and the Management of Information: Interacting with Information: Symposium on Human Interface 2011, Held as a Part of HCI International 2011, Orlando, FL, USA, July 9-14, 2011, Proceedings, Part I. editor / Michael J. Smith ; Gavriel Salvendy. Berlin, Heidelberg : Springer Verlag, 2011. pp. 641-650 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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abstract = "Emotion detection provides a promising basis for designing future-oriented human centered design of Human-Machine Interfaces. Affective Computing can facilitate human-machine communication. Such adaptive advanced driver assistance systems (ADAS) which are dependent on the emotional state of the driver can be applied in cars. In contrast to the majority of former studies that only used static recognition methods, we investigated a new dynamic approach for detecting emotions in facial expressions in an artificial setting and in a driving context. By analyzing the changes of an area defined by a number of dots that were arranged on participants' faces, variables were extracted to classify the participants' emotions according to the Facial Action Coding System. The results of our novel way to categorize emotions lead to a discussion on additional applications and limitations that frames an attempted approach of emotion detection in cars. Implications for further research and applications are outlined.",

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Tews, T-K, Oehl, M, Siebert, F, Höger, R & Faasch, H 2011, Emotional Human-Machine Interaction: Cues from Facial Expressions. in MJ Smith & G Salvendy (eds), Human Interface and the Management of Information: Interacting with Information: Symposium on Human Interface 2011, Held as a Part of HCI International 2011, Orlando, FL, USA, July 9-14, 2011, Proceedings, Part I. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6771 LNCS, Springer Verlag, Berlin, Heidelberg, pp. 641-650, 14th International Conference on Human-Computer Interaction - HCI International 2011, Orlando, United States, 09.07.11. https://doi.org/10.1007/978-3-642-21793-7_73

Emotional Human-Machine Interaction: Cues from Facial Expressions. / Tews, Tessa-Karina; Oehl, Michael; Siebert, Felix et al.
Human Interface and the Management of Information: Interacting with Information: Symposium on Human Interface 2011, Held as a Part of HCI International 2011, Orlando, FL, USA, July 9-14, 2011, Proceedings, Part I. ed. / Michael J. Smith; Gavriel Salvendy. Berlin, Heidelberg: Springer Verlag, 2011. p. 641-650 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6771 LNCS, No. PART 1).

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

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AU - Faasch, Helmut

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AB - Emotion detection provides a promising basis for designing future-oriented human centered design of Human-Machine Interfaces. Affective Computing can facilitate human-machine communication. Such adaptive advanced driver assistance systems (ADAS) which are dependent on the emotional state of the driver can be applied in cars. In contrast to the majority of former studies that only used static recognition methods, we investigated a new dynamic approach for detecting emotions in facial expressions in an artificial setting and in a driving context. By analyzing the changes of an area defined by a number of dots that were arranged on participants' faces, variables were extracted to classify the participants' emotions according to the Facial Action Coding System. The results of our novel way to categorize emotions lead to a discussion on additional applications and limitations that frames an attempted approach of emotion detection in cars. Implications for further research and applications are outlined.

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KW - human-centered design

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DO - 10.1007/978-3-642-21793-7_73

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BT - Human Interface and the Management of Information: Interacting with Information

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PB - Springer Verlag

CY - Berlin, Heidelberg

Y2 - 9 July 2011 through 14 July 2011

ER -

Tews TK, Oehl M, Siebert F, Höger R, Faasch H. Emotional Human-Machine Interaction: Cues from Facial Expressions. In Smith MJ, Salvendy G, editors, Human Interface and the Management of Information: Interacting with Information: Symposium on Human Interface 2011, Held as a Part of HCI International 2011, Orlando, FL, USA, July 9-14, 2011, Proceedings, Part I. Berlin, Heidelberg: Springer Verlag. 2011. p. 641-650. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-21793-7_73

Emotional Human-Machine Interaction: Cues from Facial Expressions

Abstract

Research areas and keywords

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