research-article

Affective Automotive User Interfaces–Reviewing the State of Driver Affect Research and Emotion Regulation in the Car

Authors:

Florian AltAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 54, Issue 7

Article No.: 137, Pages 1 - 26

https://doi.org/10.1145/3460938

Published: 17 September 2021 Publication History

Abstract

Affective technology offers exciting opportunities to improve road safety by catering to human emotions. Modern car interiors enable the contactless detection of user states, paving the way for a systematic promotion of safe driver behavior through emotion regulation. We review the current literature regarding the impact of emotions on driver behavior and analyze the state of emotion regulation approaches in the car. We summarize challenges for affective interaction in the form of technological hurdles and methodological considerations, as well as opportunities to improve road safety by reinstating drivers into an emotionally balanced state. The purpose of this review is to outline the community’s combined knowledge for interested researchers, to provide a focussed introduction for practitioners, raise awareness for cultural aspects, and to identify future directions for affective interaction in the car.

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Index Terms

Affective Automotive User Interfaces–Reviewing the State of Driver Affect Research and Emotion Regulation in the Car
1. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 54, Issue 7

September 2022

778 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3476825

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Albert Zomaya
University of Sydney, Australia

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Publication History

Published: 17 September 2021

Accepted: 01 April 2021

Revised: 01 October 2020

Received: 01 January 2020

Published in CSUR Volume 54, Issue 7

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Cited By

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https://doi.org/10.3390/wevj15060258
Balada FAluja AGarcía ÓAymamí NGarcía L(2024)Gender Differences in Prefrontal Cortex Response to Negative Emotional Stimuli in DriversBrain Sciences10.3390/brainsci1409088414:9(884)Online publication date: 30-Aug-2024
https://doi.org/10.3390/brainsci14090884
江靖(2024)Road Rage Identification and Real-Time Monitoring: Technological Advances and ChallengesAdvances in Psychology10.12677/ap.2024.14856714:08(447-460)Online publication date: 2024
https://doi.org/10.12677/ap.2024.148567
Wang YTran TTomitsch M(2024)Physiological Measurements in Automated Vehicle-Pedestrian Research: Review and Future OpportunitiesAdjunct Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3641308.3685043(172-177)Online publication date: 22-Sep-2024
https://dl.acm.org/doi/10.1145/3641308.3685043
Karas VSchuller DSchuller B(2024)Audiovisual Affect Recognition for Autonomous Vehicles: Applications and Future AgendasIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.333374925:6(4918-4932)Online publication date: Jun-2024
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Li GYuan BOuyang DLi WPan YGuo ZGuo G(2024)Emotion Recognition Based on Selected EEG Signals by Common Spatial PatternIEEE Sensors Journal10.1109/JSEN.2024.335840024:6(8414-8426)Online publication date: 15-Mar-2024
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Chanmas GTaveekitworachai PYou XThawonmas RNukoolkit CDajpratham P(2024)Driving assistant using generative AI pre-generated messages in simulator-based driving assessment: A step towards low-cost simulator-based driving assessmentHeliyon10.1016/j.heliyon.2024.e3594110:16(e35941)Online publication date: Aug-2024
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Li WLi GTan RWang CSun ZLi YGuo GCao DLi K(2024)Review and Perspectives on Human Emotion for Connected Automated VehiclesAutomotive Innovation10.1007/s42154-023-00270-z7:1(4-44)Online publication date: 30-Jan-2024
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Zhao YJiang KYu ZHuang Z(2024)Emotion-matched in-vehicle assistants: an exploration in regulating drivers' incidental emotions and enhancing takeover performance and situational awarenessCognition, Technology and Work10.1007/s10111-024-00756-826:2(225-245)Online publication date: 20-Mar-2024
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Cieler SFaller FGroh MWilck M(2024)InsassenzustandserkennungHandbuch Assistiertes und Automatisiertes Fahren10.1007/978-3-658-38486-9_28(701-721)Online publication date: 31-Jul-2024
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