Franz, Oliver and Drewitz, Uwe and Ihme, Klas (2020) Facing driver frustration: Towards real-time in-vehicle frustration estimation based on video streams of the face. In: Communications in Computer and Information Science, 1226. Springer. HCII 2020, 19.-24 .July 2020, Kopenhagen, Dänemark. doi: 10.1007/978-3-030-50732-9_46. ISBN 978-303032422-3. ISSN 1865-0929.
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Abstract
Drivers frequently experience frustration when facing traffic jams, red lights or badly designed in-vehicle interfaces. Frustration can lead to aggressive behaviors and negative influences on user experience. Affect-aware vehicles that recognize the driver’s degree of frustration and, based on this, offer assistance to reduce the frustration or mitigate its negative effects promise remedy. As a prerequisite, this needs a real-time estimation of current degree of frustration. Consequently, here we describe the development of a classifier that can recognize whether a frustrated facial expression was shown based on video streams of the face. For demonstration of its real-time capabilities, a demonstrator of a frustration-aware vehicle including the classifier, the Frust-O-Meter, is presented. The system is integrated into a driving simulator and consists of (1) a webcam, (2) a preprocessing unit, (3) a user model, (4) an adaptation unit and (5) a user interface. In the current version, a happy song is played once a high degree of frustration is detected. The Frust-O-Meter can form the basis for the development of frustration-aware vehicles and is foreseen to be extended to more modalities as well as more user need-oriented adaption strategies in the near future.
Item URL in elib: | https://elib.dlr.de/129460/ | ||||||||||||
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Document Type: | Conference or Workshop Item (Poster) | ||||||||||||
Title: | Facing driver frustration: Towards real-time in-vehicle frustration estimation based on video streams of the face | ||||||||||||
Authors: |
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Date: | 2020 | ||||||||||||
Journal or Publication Title: | Communications in Computer and Information Science | ||||||||||||
Refereed publication: | Yes | ||||||||||||
Open Access: | No | ||||||||||||
Gold Open Access: | No | ||||||||||||
In SCOPUS: | Yes | ||||||||||||
In ISI Web of Science: | No | ||||||||||||
Volume: | 1226 | ||||||||||||
DOI : | 10.1007/978-3-030-50732-9_46 | ||||||||||||
Publisher: | Springer | ||||||||||||
Series Name: | Communications in Computer and Information Science | ||||||||||||
ISSN: | 1865-0929 | ||||||||||||
ISBN: | 978-303032422-3 | ||||||||||||
Status: | Published | ||||||||||||
Keywords: | frustration-aware systems; user state monitoring; frustration; user-focused automation; empathic automation; machine learning | ||||||||||||
Event Title: | HCII 2020 | ||||||||||||
Event Location: | Kopenhagen, Dänemark | ||||||||||||
Event Type: | international Conference | ||||||||||||
Event Dates: | 19.-24 .July 2020 | ||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||
HGF - Program: | Transport | ||||||||||||
HGF - Program Themes: | Road Transport | ||||||||||||
DLR - Research area: | Transport | ||||||||||||
DLR - Program: | V ST Straßenverkehr | ||||||||||||
DLR - Research theme (Project): | V - NGC KoFiF | ||||||||||||
Location: | Braunschweig | ||||||||||||
Institutes and Institutions: | Institute of Transportation Systems > Human Factors | ||||||||||||
Deposited By: | Ihme, Klas | ||||||||||||
Deposited On: | 19 Aug 2020 14:24 | ||||||||||||
Last Modified: | 19 Aug 2020 14:24 |
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