Detecting and influencing driver emotions using psycho-physiological sensors and ambient light

Mariam Hassib, Michael Braun, Bastian Pfleging, Florian Alt

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
67 Downloads (Pure)

Abstract

Driving is a sensitive task that is strongly affected by the driver's emotions. Negative emotions, such as anger, can evidently lead to more driving errors. In this work, we introduce a concept of detecting and influencing driver emotions using psycho-physiological sensing for emotion classification and ambient light for feedback. We detect arousal and valence of emotional responses from wearable bio-electric sensors, namely brain-computer interfaces and heart rate sensors. We evaluated our concept in a static driving simulator with a fully equipped car with 12 participants. Before the rides, we elicit negative emotions and evaluate driving performance and physiological data while driving under stressful conditions. We use three ambient lighting conditions (no light, blue, orange). Using a subject-dependent random forests classifier with 40 features collected from physiological data we achieve an average accuracy of 78.9% for classifying valence and 68.7% for arousal. Driving performance was enhanced in conditions where ambient lighting was introduced. Both blue and orange light helped drivers to improve lane keeping. We discuss insights from our study and provide design recommendations for designing emotion sensing and feedback systems in the car.
Original languageEnglish
Title of host publicationHuman-Computer Interaction – INTERACT 2019 - 17th IFIP TC 13 International Conference, Proceedings
EditorsDavid Lamas, Fernando Loizides, Lennart Nacke, Helen Petrie, Marco Winckler, Panayiotis Zaphiris
Place of PublicationCham
PublisherSpringer
Pages721-742
Number of pages22
ISBN (Electronic)978-3-030-29381-9
ISBN (Print)978-3-030-29380-2
DOIs
Publication statusPublished - 2 Sep 2019
Event17th IFIP TC.13 International Conference on Human-Computer Interaction (INTERACT2019) - Paphos, Cyprus
Duration: 2 Sep 20196 Sep 2019
https://interact2019.org/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11746 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th IFIP TC.13 International Conference on Human-Computer Interaction (INTERACT2019)
Abbreviated titleINTERACT2019
CountryCyprus
CityPaphos
Period2/09/196/09/19
Internet address

Keywords

  • Affective computing
  • Ambient light
  • Automotive UI
  • EEG

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