elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Impressum | Datenschutz | Kontakt | English
Schriftgröße: [-] Text [+]

Taking driver frustration into account: Towards a speech-based emotion regulation in-car assistant

Lienhop, Martina und Oehl, Michael (2020) Taking driver frustration into account: Towards a speech-based emotion regulation in-car assistant. Conference of Experimental Psychologists – TeaP 2020, 2020-03-22 - 2020-03-25, Jena, Germany.

Dieses Archiv kann nicht den Volltext zur Verfügung stellen.

Offizielle URL: https://dryfta-assets.s3.eu-central-1.amazonaws.com/assets/teap2020/eventdocs/1583451218Abstracts_TeaP2020.pdf

Kurzfassung

Frustration is regarded as an emotion that can turn into anger and (road) rage. These negative emotions and the aggressive driving behavior associated with them are in turn relevant causes of accidents and road fatalities. Adaptive driving assistance systems with the ability to detect the driver’s emotional state could prevent driver’s losses of driving performance caused by frustration through targeted intervention in emotion regulation processes. Here, speech interventions are particularly promising, because verbal communication with human passengers is familiar in such emotional states. Additionally, the cognitive strain burdened by spoken language and auditory interaction is quite little while executing at the same time the primary driving task. So far, little is known about the exact nature of speech interaction with voice user interface assistants in order to reduce the driver’s frustration. Our experimental study focuses on the appropriate timing for intervention. The theoretical basis is Gross' process model of emotion regulation. Since in road traffic both situation selection and situation modification are only possible in exceptional cases, this study concentrates on the three subsequent strategies of emotion regulation proposed by Gross. In two driving scenarios, the influence of different sources of frustration was manipulated. Results of the study show that the success of the speech intervention is not only determined by timing, but it is to a large extent situation-dependent. Implications for a refined design of such assistants as well as for further research will be pointed out.

elib-URL des Eintrags:https://elib.dlr.de/134425/
Dokumentart:Konferenzbeitrag (Poster)
Titel:Taking driver frustration into account: Towards a speech-based emotion regulation in-car assistant
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Lienhop, MartinaFernUniversität HagenNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Oehl, MichaelMichael.Oehl (at) dlr.dehttps://orcid.org/0000-0002-0871-2286NICHT SPEZIFIZIERT
Datum:März 2020
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Seitenbereich:Seite 153
Status:veröffentlicht
Stichwörter:Applied Psychology; Traffic Psychology; automotive voice user interfaces; emotions; Driver Assistant Systems, F-RELACS
Veranstaltungstitel:Conference of Experimental Psychologists – TeaP 2020
Veranstaltungsort:Jena, Germany
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:22 März 2020
Veranstaltungsende:25 März 2020
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Straßenverkehr
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V ST Straßenverkehr
DLR - Teilgebiet (Projekt, Vorhaben):V - NGC KoFiF (alt)
Standort: Braunschweig
Institute & Einrichtungen:Institut für Verkehrssystemtechnik > Fahrzeugfunktionsentwicklung
Hinterlegt von: Oehl, Dr. Michael
Hinterlegt am:17 Mär 2020 21:13
Letzte Änderung:24 Apr 2024 20:37

Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags

Blättern
Suchen
Hilfe & Kontakt
Informationen
electronic library verwendet EPrints 3.3.12
Gestaltung Webseite und Datenbank: Copyright © Deutsches Zentrum für Luft- und Raumfahrt (DLR). Alle Rechte vorbehalten.