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Mitigating Frustration in the Car: Which Emotion Regulation Strategies Might Work for Different Age Groups?

Oehl, Michael and Lienhop, Martina and Ihme, Klas (2021) Mitigating Frustration in the Car: Which Emotion Regulation Strategies Might Work for Different Age Groups? In: 23rd International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2019, held as part of the 23rd International Conference on Human-Computer Interaction, HCI International 2019, 1421, pp. 273-280. HCI International 2021, 24.-29. Juli 2021, Washington D.C. (virtuell). doi: 10.1007/978-3-030-78645-8_34.

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Official URL: https://link.springer.com/chapter/10.1007%2F978-3-030-78645-8_34

Abstract

Frustration negatively affects user experience both in manual and automated driving and negatively influences driving performance and system ac-ceptance. Hence, frustration-aware in-vehicle systems that assess the drivers’ current level of frustration and help to mitigate it have gained attention. However, while there has been ample of research on the assessment of the user’s affective state in the vehicle, little progress has been made on the mit-igation of these affective states. Thus, little is known about interaction strat-egies for automotive user interfaces that successfully mitigate the user’s frustration in frustrating situations. To bridge this gap, the aim of this study was the investigation of potential frustration regulation strategies as basis for supporting frustrated vehicle users in frustration-aware systems based on us-er needs. We conducted focus groups with users of different age groups (be-low and above 65 years) to explore which different emotion regulation strat-egies might work for different age groups in a user-centered way. Two repre-sentative use cases of today’s and future driving were chosen, one for manu-al and one for automated driving, respectively. Only slight differences for the suggested emotion regulation strategies were observed between the age groups with respect to their rated helpfulness. The results provide a helpful basis to develop future in-vehicle frustration mitigation systems in terms of intelligent automotive user interfaces.

Item URL in elib:https://elib.dlr.de/143089/
Document Type:Conference or Workshop Item (Poster)
Title:Mitigating Frustration in the Car: Which Emotion Regulation Strategies Might Work for Different Age Groups?
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Oehl, MichaelMichael.Oehl (at) dlr.dehttps://orcid.org/0000-0002-0871-2286
Lienhop, MartinaFernUniversität HagenUNSPECIFIED
Ihme, KlasKlas.Ihme (at) dlr.dehttps://orcid.org/0000-0002-7911-3512
Date:2021
Journal or Publication Title:23rd International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2019, held as part of the 23rd International Conference on Human-Computer Interaction, HCI International 2019
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:1421
DOI :10.1007/978-3-030-78645-8_34
Page Range:pp. 273-280
Series Name:Communications in Computer and Information Science
Status:Published
Keywords:Psychology, Automotive user interfaces, 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
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 16:21
Last Modified:27 Jul 2021 10:13

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