Cues from Facial Expressions for Emotional Interfaces
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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 Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
Harvard
APA
Vancouver
Bibtex
}
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 -