Emotional Human-Machine Interaction: Cues from Facial Expressions

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Standard

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. Hrsg. / Michael J. Smith; Gavriel Salvendy. Berlin, Heidelberg: Springer, 2011. S. 641-650 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 6771 LNCS, Nr. PART 1).

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

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 (Hrsg.), 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), Nr. PART 1, Bd. 6771 LNCS, Springer, Berlin, Heidelberg, S. 641-650, 14th International Conference on Human-Computer Interaction - HCI International 2011, Orlando, USA / Vereinigte Staaten, 09.07.11. https://doi.org/10.1007/978-3-642-21793-7_73

APA

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 (Hrsg.), 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 (S. 641-650). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 6771 LNCS, Nr. PART 1). Springer. https://doi.org/10.1007/978-3-642-21793-7_73

Vancouver

Tews TK, Oehl M, Siebert F, Höger R, Faasch H. Emotional Human-Machine Interaction: Cues from Facial Expressions. in Smith MJ, Salvendy G, Hrsg., 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. 2011. S. 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

Bibtex

@inbook{63c577923e6f4d969a969005bb210cea,
title = "Emotional Human-Machine Interaction: Cues from Facial Expressions",
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.",
keywords = "Business psychology, Emotion detection, human-computer interaction, human-centered design, affective computing, affective computing, Emotion detection, human-centered design, human-computer interaction",
author = "Tessa-Karina Tews and Michael Oehl and Felix Siebert and Rainer H{\"o}ger and Helmut Faasch",
year = "2011",
doi = "10.1007/978-3-642-21793-7_73",
language = "English",
isbn = "978-3-642-21792-0",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
number = "PART 1",
pages = "641--650",
editor = "Smith, {Michael J.} and Gavriel Salvendy",
booktitle = "Human Interface and the Management of Information: Interacting with Information",
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 - Emotional Human-Machine Interaction

T2 - 14th International Conference on Human-Computer Interaction - HCI International 2011

AU - Tews, Tessa-Karina

AU - Oehl, Michael

AU - Siebert, Felix

AU - Höger, Rainer

AU - Faasch, Helmut

N1 - Conference code: 14

PY - 2011

Y1 - 2011

N2 - 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.

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.

KW - Business psychology

KW - Emotion detection

KW - human-computer interaction

KW - human-centered design

KW - affective computing

KW - affective computing

KW - Emotion detection

KW - human-centered design

KW - human-computer interaction

UR - http://www.scopus.com/inward/record.url?scp=79960302127&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-21793-7_73

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

M3 - Article in conference proceedings

SN - 978-3-642-21792-0

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 641

EP - 650

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

A2 - Smith, Michael J.

A2 - Salvendy, Gavriel

PB - Springer

CY - Berlin, Heidelberg

Y2 - 9 July 2011 through 14 July 2011

ER -

DOI