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In-Vehicle Frustration Mitigation via Voice-User Interfaces – a Simulator Study

Krüger, Sandra und Bosch, Esther Johanna und Ihme, Klas und Oehl, Michael (2021) In-Vehicle Frustration Mitigation via Voice-User Interfaces – a Simulator Study. In: 23rd International Conference on Human-Computer Interaction, HCII 2021, Seiten 241-248. HCI International 2021, 2021-07-24 - 2021-07-29, Washington D.C. (Virtuell). doi: 10.1007/978-3-030-78645-8_30. ISBN 978-303090175-2. ISSN 1865-0929.

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Offizielle URL: https://link.springer.com/chapter/10.1007%2F978-3-030-78645-8_30

Kurzfassung

Frustration while driving possibly causes accidents. Therefore, frustration-aware in-vehicle systems that help to mitigate frustration have gained in-creasing attention. Until now, little is known about effective interaction strategies. Recent studies indicate that voice interfaces enable natural hu-man-machine interaction and thus could be valuable for in-vehicle frustra-tion mitigation. Hence, this study investigates the effects of a frustration mitigation assistant via a voice-user interface as well as on its related user experience (UX) and users’ acceptance ratings. For this, a voice-user inter-face was designed that interacted with participants exposed to frustrating traffic situations during simulated driving. Frustration mitigation was adapted to these situations and based on well-established general emotion regulation theories. Participants (N = 13) took four drives in a driving simu-lator. Three drives served as distraction from the actual study goal while in the experimental drive participants were frustrated by goal-blocking traffic situations integrated in the simulation. In order to compare frustrating drives with and without voice interface, one half of the participants experienced the intervention of the voice-user interface (assisted group) while the other half drove without voice assistant (control group). After each drive the subjective frustration level was assessed via self-report. In addition, participants who experienced the voice interface were asked about their UX and acceptance. The frustration ratings indicate a tendency towards reduced frustration in the assisted compared to the control group. UX and acceptance ratings indicate positive experiences. Thus, this study provides first insights into the feasibil-ity of assistants via voice-user interfaces for in-vehicle frustration mitigation.

elib-URL des Eintrags:https://elib.dlr.de/143087/
Dokumentart:Konferenzbeitrag (Poster)
Titel:In-Vehicle Frustration Mitigation via Voice-User Interfaces – a Simulator Study
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Krüger, SandraSandra.Krueger (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Bosch, Esther JohannaEsther.Bosch (at) dlr.dehttps://orcid.org/0000-0002-6525-2650NICHT SPEZIFIZIERT
Ihme, KlasKlas.Ihme (at) dlr.dehttps://orcid.org/0000-0002-7911-3512NICHT SPEZIFIZIERT
Oehl, MichaelMichael.Oehl (at) dlr.dehttps://orcid.org/0000-0002-0871-2286NICHT SPEZIFIZIERT
Datum:2021
Erschienen in:23rd International Conference on Human-Computer Interaction, HCII 2021
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Nein
DOI:10.1007/978-3-030-78645-8_30
Seitenbereich:Seiten 241-248
ISSN:1865-0929
ISBN:978-303090175-2
Status:veröffentlicht
Stichwörter:Psychology, Voice assistants, Frustration, Driver state, Affect-aware systems, Empathic vehicles, User experience.
Veranstaltungstitel:HCI International 2021
Veranstaltungsort:Washington D.C. (Virtuell)
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:24 Juli 2021
Veranstaltungsende:29 Juli 2021
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Verkehrssystem
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V VS - Verkehrssystem
DLR - Teilgebiet (Projekt, Vorhaben):V - Energie und Verkehr (alt)
Standort: Braunschweig
Institute & Einrichtungen:Institut für Verkehrssystemtechnik > Kooperative Systeme, BS
Institut für Verkehrssystemtechnik > Informationsflussmodellierung in Mobilitätssystemen, BS
Hinterlegt von: Oehl, Dr. Michael
Hinterlegt am:26 Jul 2021 15:50
Letzte Änderung:24 Apr 2024 20:42

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