Cues from Facial Expressions for Emotional Interfaces

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Standard

Cues from Facial Expressions for Emotional Interfaces. / Tews, Tessa-Karina; Oehl, Michael; Siebert, Felix et al.
Human Centred Automation: HFES Europe Chapter. Hrsg. / Dick De Waard; Nina Gérard; Linda Onnasch; Rebecca Wiczorek; Dietrich Manzey. Shaker Publishing, 2011. S. 111-122.

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Tews, T-K, Oehl, M, Siebert, F, Faasch, H & Höger, R 2011, Cues from Facial Expressions for Emotional Interfaces. in D De Waard, N Gérard, L Onnasch, R Wiczorek & D Manzey (Hrsg.), Human Centred Automation: HFES Europe Chapter. Shaker Publishing, S. 111-122, Human Factors and Ergonomics Society Europe Chapter Annual Conference - 2010, Berlin, Deutschland, 13.10.10.

APA

Tews, T.-K., Oehl, M., Siebert, F., Faasch, H., & Höger, R. (2011). Cues from Facial Expressions for Emotional Interfaces. In D. De Waard, N. Gérard, L. Onnasch, R. Wiczorek, & D. Manzey (Hrsg.), Human Centred Automation: HFES Europe Chapter (S. 111-122). Shaker Publishing.

Vancouver

Tews TK, Oehl M, Siebert F, Faasch H, Höger R. Cues from Facial Expressions for Emotional Interfaces. in De Waard D, Gérard N, Onnasch L, Wiczorek R, Manzey D, Hrsg., Human Centred Automation: HFES Europe Chapter. Shaker Publishing. 2011. S. 111-122

Bibtex

@inbook{488e96c4992e46ff84e91907c0089e41,
title = "Cues from Facial Expressions for Emotional Interfaces",
abstract = "Emotion detection provides a promising basis for designing future-oriented human centered 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. The following pilot study evaluated automatic recognition of emotions using facial expressions with N = 1 subjects. In contrast to the majority of earlier studies that only used complex and static recognition methods, a new non-complex dynamic approach for detecting emotions in facial expressions directly in a driving context is proposed. By analysing the changes within an area, defined by a number of dots that were arranged on participants‟ faces, variables were extracted to classify the participants‟ emotions. A special pattern-recognition algorithm detects the dots 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",
author = "Tessa-Karina Tews and Michael Oehl and Felix Siebert and Helmut Faasch and Rainer H{\"o}ger",
note = "Titel des Vortrags: Emotional Interfaces in Cars : Cues from Facial Expressions / Tews, Frehse, Oehl, Siebert, H{\"o}ger, Pfister, Faasch; Human Factors and Ergonomics Society Europe Chapter Annual Conference - 2010 : Human Centered Automation, HFES Europe Chapter Annual Conference - 2010 ; Conference date: 13-10-2010 Through 15-10-2010",
year = "2011",
month = jun,
day = "20",
language = "English",
isbn = "978-90-423-0406-2",
pages = "111--122",
editor = "{De Waard}, Dick and Nina G{\'e}rard and Linda Onnasch and Rebecca Wiczorek and Dietrich Manzey",
booktitle = "Human Centred Automation",
publisher = "Shaker Publishing",
address = "Netherlands",
url = "https://www.hfes.org/events/national-ergonomics-month/past-events",

}

RIS

TY - CHAP

T1 - Cues from Facial Expressions for Emotional Interfaces

AU - Tews, Tessa-Karina

AU - Oehl, Michael

AU - Siebert, Felix

AU - Faasch, Helmut

AU - Höger, Rainer

N1 - Titel des Vortrags: Emotional Interfaces in Cars : Cues from Facial Expressions / Tews, Frehse, Oehl, Siebert, Höger, Pfister, Faasch

PY - 2011/6/20

Y1 - 2011/6/20

N2 - Emotion detection provides a promising basis for designing future-oriented human centered 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. The following pilot study evaluated automatic recognition of emotions using facial expressions with N = 1 subjects. In contrast to the majority of earlier studies that only used complex and static recognition methods, a new non-complex dynamic approach for detecting emotions in facial expressions directly in a driving context is proposed. By analysing the changes within an area, defined by a number of dots that were arranged on participants‟ faces, variables were extracted to classify the participants‟ emotions. A special pattern-recognition algorithm detects the dots 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 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. The following pilot study evaluated automatic recognition of emotions using facial expressions with N = 1 subjects. In contrast to the majority of earlier studies that only used complex and static recognition methods, a new non-complex dynamic approach for detecting emotions in facial expressions directly in a driving context is proposed. By analysing the changes within an area, defined by a number of dots that were arranged on participants‟ faces, variables were extracted to classify the participants‟ emotions. A special pattern-recognition algorithm detects the dots 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

M3 - Article in conference proceedings

SN - 978-90-423-0406-2

SP - 111

EP - 122

BT - Human Centred Automation

A2 - De Waard, Dick

A2 - Gérard, Nina

A2 - Onnasch, Linda

A2 - Wiczorek, Rebecca

A2 - Manzey, Dietrich

PB - Shaker Publishing

T2 - Human Factors and Ergonomics Society Europe Chapter Annual Conference - 2010

Y2 - 13 October 2010 through 15 October 2010

ER -