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

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

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


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.

Item URL in elib:https://elib.dlr.de/143087/
Document Type:Conference or Workshop Item (Poster)
Title:In-Vehicle Frustration Mitigation via Voice-User Interfaces – a Simulator Study
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Bosch, Esther JohannaUNSPECIFIEDhttps://orcid.org/0000-0002-6525-2650UNSPECIFIED
Ihme, KlasUNSPECIFIEDhttps://orcid.org/0000-0002-7911-3512UNSPECIFIED
Oehl, MichaelUNSPECIFIEDhttps://orcid.org/0000-0002-0871-2286UNSPECIFIED
Journal or Publication Title:23rd International Conference on Human-Computer Interaction, HCII 2021
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 241-248
Keywords:Psychology, Voice assistants, Frustration, Driver state, Affect-aware systems, Empathic vehicles, User experience.
Event Title:HCI International 2021
Event Location:Washington D.C. (Virtuell)
Event Type:international Conference
Event Dates:24.-29. Juli 2021
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - Energie und Verkehr (old)
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Cooperative Systems, BS
Institute of Transportation Systems > Information Flow Modelling in Mobility Systems, BS
Deposited By: Oehl, Dr. Michael
Deposited On:26 Jul 2021 15:50
Last Modified:10 Aug 2023 10:58

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