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Facing driver frustration: Towards real-time in-vehicle frustration estimation based on video streams of the face

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/
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:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Franz, OliverUniversität OsnabrückUNSPECIFIED
Drewitz, UweUwe.Drewitz (at) dlr.deUNSPECIFIED
Ihme, KlasKlas.Ihme (at) dlr.dehttps://orcid.org/0000-0002-7911-3512
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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