- AutorIn
- Dr. Matthias Beggiato Technische Universität Chemnitz
- Dr. Nadine RauhTechnische Universität Chemnitz
- Prof. Josef KremsTechnische Universität Chemnitz
- Titel
- Facial Expressions as Indicator for Discomfort in Automated Driving
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:ch1-qucosa2-757765
- Übersetzter Titel (DE)
- Mimik als Indikator für Diskomfort beim automatisierten Fahren
- Konferenz
- 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020). Modena (Italy), February 19-21, 2020
- Quellenangabe
- Intelligent Human Systems Integration 2020 : Proceedings of the 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020): Integrating People and Intelligent Systems, February 19-21, 2020, Modena, Italy
Herausgeber: Ahram, Tareq, Karwowski, Waldemar, Vergnano, Alberto, Leali, Francesco
Erscheinungsort: Cham
Verlag: Springer
Erscheinungsjahr: 2020
Titel Schriftenreihe: Advances in Intelligent Systems and Computing
Bandnummer Schriftenreihe: 1131
Seiten: 932-937
ISSN: 2194-5357
ISBN: 978-3-030-39511-7 - Erstveröffentlichung
- 2020
- Abstract (EN)
- Driving comfort is considered a key factor for broad public acceptance of automated driving. Based on continuous driver/passenger monitoring, potential discomfort could be avoided by adapting automation features such as the driving style. The EU-project MEDIATOR (mediatorproject.eu) aims at developing a mediating system in automated vehicles by constantly evaluating the performance of driver and automation. As facial expressions could be an indicator of discomfort, a driving simulator study has been carried out to investigate this relationship. A total of 41 participants experienced three potentially uncomfortable automated approach situations to a truck driving ahead. The face video of four cameras was analyzed with the Visage facial feature detection and face analysis software, extracting 23 Action Units (AUs). Situation-specific effects showed that the eyes were kept open and eye blinks were reduced (AU43). Inner brows (AU1) as well as upper lids (AU5) raised, indicating surprise. Lips were pressed (AU24) and stretched (AU20) as sign for tension. Overall, facial expression analysis could contribute to detect discomfort in automated driving.
- Andere Ausgabe
- Veröffentlichung im EU Projekt MEDIATOR (grant agreement No. 814735)
Facial Expressions as Indicator for Discomfort in Automated Driving
Link: https://doi.org/10.1007/978-3-030-39512-4_142
DOI: 10.1007/978-3-030-39512-4_142 - Freie Schlagwörter (EN)
- face tracking , facial expressions , action units , automated driving , discomfort , driving simulator , mediator project
- Klassifikation (DDC)
- 100
- Normschlagwörter (GND)
- Psychologie, Fahrsimulator, Mimik, Autonomes Fahrzeug
- Verlag
- Springer Nature, Cham
- Publizierende Institution
- Technische Universität Chemnitz, Chemnitz
- Förder- / Projektangaben
- Europäische Kommission (EU-Kommission)
H2020
MEdiating between Driver and Intelligent Automated Transport systems on Our Roads (MEDIATOR)
ID: 814735 - Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:ch1-qucosa2-757765
- Veröffentlichungsdatum Qucosa
- 26.08.2021
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis