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An Experimental Paradigm for Inducing Emotions in a Real World Driving Scenario Evidence from Self-Report, Annotation of Speech Data and Peripheral Physiology

Requart, Alicia Flores and Wilbrink, Marc and Siegert, Ingo and Jipp, Meike and Wendemuth, Andreas and Ihme, Klas (2018) An Experimental Paradigm for Inducing Emotions in a Real World Driving Scenario Evidence from Self-Report, Annotation of Speech Data and Peripheral Physiology. Kognitive Systeme, 2018 (1). DuEPublico. DOI: 10.17185/duepublico/48595 ISSN 2197-0343

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Official URL: https://duepublico.uni-duisburg-essen.de/servlets/DerivateServlet/Derivate-47532/Requardt_et_al_An_Experimental_Paradigm.pdf

Abstract

Empathic vehicles are a promising concept to increase the safety and acceptance of automated vehicles. However, on the way towards empathic vehicles a lot of research in the area of automated emotion recognition is necessary. Successful methods to detect emotions need to be trained on realistic data that contain the target emotion and come from a setting close to the final application. At the moment, data sets fulfilling these requirements are lacking. Therefore, the goal of this work is to present an experimental paradigm that induces four different emotional states (neutral, positive, frustration and mild anxiety) in a real-world driving setting using a combination of secondary tasks and conversation-based emotional recall. An evaluation of the paradigm using self-report data, annotation of speech data and peripheral physiology indicates that the methods to induce the target emotions were successful. Based on the insights of the experiment, finally a list of recommendations for the induction of emotions in real world driving settings is given.

Item URL in elib:https://elib.dlr.de/127531/
Document Type:Article
Title:An Experimental Paradigm for Inducing Emotions in a Real World Driving Scenario Evidence from Self-Report, Annotation of Speech Data and Peripheral Physiology
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Requart, Alicia FloresOtto-von-Guericke-Universität MagdeburgUNSPECIFIED
Wilbrink, Marcmarc.wilbrink (at) dlr.dehttps://orcid.org/0000-0002-7550-8613
Siegert, IngoUniversität MagdeburgUNSPECIFIED
Jipp, MeikeMeike.Jipp (at) dlr.deUNSPECIFIED
Wendemuth, AndreasOtto-von-Guericke-Universität MagdeburgUNSPECIFIED
Ihme, KlasKlas.Ihme (at) dlr.dehttps://orcid.org/0000-0002-7911-3512
Date:2018
Journal or Publication Title:Kognitive Systeme
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:2018
DOI :10.17185/duepublico/48595
Publisher:DuEPublico
ISSN:2197-0343
Status:Published
Keywords:Empathic vehicles; emotion recognition; annotation of speech data; frustration; physiology; user-focused systems; Nutzerfokussierte Assitenz
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:11 Jun 2019 08:12
Last Modified:31 Jul 2019 20:25

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