research-article

Technical Design Space Analysis for Unobtrusive Driver Emotion Assessment Using Multi-Domain Context

Authors:

Luis Falconeri Coelho,

Satiyabooshan Murugaboopathy,

Ulrich von Zadow,

Albrecht Schmidt,

Tobias Grosse-PuppendahlAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 6, Issue 4

Article No.: 159, Pages 1 - 30

https://doi.org/10.1145/3569466

Published: 11 January 2023 Publication History

Abstract

Driver emotions play a vital role in driving safety and performance. Consequently, regulating driver emotions through empathic interfaces have been investigated thoroughly. However, the prerequisite - driver emotion sensing - is a challenging endeavor: Body-worn physiological sensors are intrusive, while facial and speech recognition only capture overt emotions. In a user study (N=27), we investigate how emotions can be unobtrusively predicted by analyzing a rich set of contextual features captured by a smartphone, including road and traffic conditions, visual scene analysis, audio, weather information, and car speed. We derive a technical design space to inform practitioners and researchers about the most indicative sensing modalities, the corresponding impact on users' privacy, and the computational cost associated with processing this data. Our analysis shows that contextual emotion recognition is significantly more robust than facial recognition, leading to an overall improvement of 7% using a leave-one-participant-out cross-validation.

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Cited By

Genç UVerma H(2024)Situating Empathy in HCI/CSCW: A Scoping ReviewProceedings of the ACM on Human-Computer Interaction10.1145/36870528:CSCW2(1-37)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687052
Yang SChung WYang F(2024)Analyzing the packaging design evaluation based on image emotion perception computingHeliyon10.1016/j.heliyon.2024.e3140810:10(e31408)Online publication date: May-2024
https://doi.org/10.1016/j.heliyon.2024.e31408
Katins CFeger SKosch T(2023)Pilots' Considerations Regarding Current Generation Mixed Reality Headset Use in General Aviation CockpitsProceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia10.1145/3626705.3627785(159-165)Online publication date: 3-Dec-2023
https://dl.acm.org/doi/10.1145/3626705.3627785
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Index Terms

Technical Design Space Analysis for Unobtrusive Driver Emotion Assessment Using Multi-Domain Context
1. Computing methodologies
  1. Machine learning
2. Human-centered computing
  1. Ubiquitous and mobile computing

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 6, Issue 4

December 2022

1534 pages

EISSN:2474-9567

DOI:10.1145/3580286

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Published: 11 January 2023

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Cited By

Genç UVerma H(2024)Situating Empathy in HCI/CSCW: A Scoping ReviewProceedings of the ACM on Human-Computer Interaction10.1145/36870528:CSCW2(1-37)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687052
Yang SChung WYang F(2024)Analyzing the packaging design evaluation based on image emotion perception computingHeliyon10.1016/j.heliyon.2024.e3140810:10(e31408)Online publication date: May-2024
https://doi.org/10.1016/j.heliyon.2024.e31408
Katins CFeger SKosch T(2023)Pilots' Considerations Regarding Current Generation Mixed Reality Headset Use in General Aviation CockpitsProceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia10.1145/3626705.3627785(159-165)Online publication date: 3-Dec-2023
https://dl.acm.org/doi/10.1145/3626705.3627785
Rao SWirjopawiro SPons Rodriguez GRöggla TCesar PEl Ali A(2023)Affective Driver-Pedestrian Interaction: Exploring Driver Affective Responses toward Pedestrian Crossing Actions using Camera and Physiological SensorsProceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3580585.3607168(300-310)Online publication date: 18-Sep-2023
https://dl.acm.org/doi/10.1145/3580585.3607168
Bethge DPatsch CHallgarten PKosch T(2023)Interpretable Time-Dependent Convolutional Emotion Recognition with Contextual Data StreamsExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585672(1-9)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3585672
Chau MBenterki APortaz CMaaoui CBoukhnifer M(2023)Advances in Emotion Recognition for Driving: A Review of Uni-Modal and Multi-Modal Methods2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)10.1109/CoDIT58514.2023.10284410(1665-1670)Online publication date: 3-Jul-2023
https://doi.org/10.1109/CoDIT58514.2023.10284410

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