Emotional Human-Machine Interaction: Cues from Facial Expressions

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

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.
OriginalspracheEnglisch
TitelHuman interface and the managment of information : Interacting with Information - Symposium on Human Interface 2011, Held as Part of HCI International 2011, Proceedings
HerausgeberMichael J. Smith, Gavriel Salvendy
Anzahl der Seiten10
Band1
VerlagSpringer
Erscheinungsdatum2011
Seiten641-650
ISBN (Print)978-3-642-21792-0
ISBN (elektronisch)978-3-642-21793-7
DOIs
PublikationsstatusErschienen - 2011
Veranstaltung14th International Conference on Human-Computer Interaction – HCII 2011 - Orlando, USA / Vereinigte Staaten
Dauer: 09.07.201114.07.2011
Konferenznummer: 14
https://www.certh.gr/3B79E836.en.aspx

DOI