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On-road Stress Analysis for In-car Interventions During the Commute

Published: 02 May 2019 Publication History

Abstract

This paper focuses on the larger question of when to administer in-car just-in-time stress management interventions. We look at the influence of driving-related stress to find the right time to provide personalized and contextually-aware interventions. We address this challenge with a data driven approach that takes into consideration driving-induced stress, driver (cognitive) availability, and indicators of risky driving behavior such as lane departures and high steering reversal rates. We ran a study with sixteen commuters during morning and evening traffic while applying an in-situ experience sampling. During 45 minutes of driving through various scenarios including city, highway, and neighborhood roads we captured physiological measurements, video of participants and surroundings, and CAN bus driving data. Initial review of the data shows that stress levels changed greatly between 2 and 9 (out of a 0-min to 10-max scale). We conclude with a discussion on how to prepare the data to train supervised algorithms to find the right time to intervene stress while driving.

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References

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Cited By

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  • (2023)A Descriptive Analysis of a Formative Decade of Research in Affective Haptic System DesignProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580735(1-23)Online publication date: 19-Apr-2023
  • (2023)The effect of perceived global stress and altruism on prosocial driving behavior, yielding behavior, and yielding attitudeTraffic Injury Prevention10.1080/15389588.2023.219176524:5(402-408)Online publication date: 13-Apr-2023
  • (2022)Evaluation of two short-term stress interventions in the context of mobilityTransportation Research Part F: Traffic Psychology and Behaviour10.1016/j.trf.2021.11.00684(155-164)Online publication date: Jan-2022
  • Show More Cited By

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  1. On-road Stress Analysis for In-car Interventions During the Commute

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    cover image ACM Conferences
    CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
    May 2019
    3673 pages
    ISBN:9781450359719
    DOI:10.1145/3290607
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 02 May 2019

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    Author Tags

    1. commute
    2. driving behavior
    3. driving-induced stress
    4. health
    5. health interventions
    6. just in time intervention
    7. mental health
    8. on-road
    9. safety
    10. stress
    11. stress management
    12. stress measurement

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    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    Cited By

    View all
    • (2023)A Descriptive Analysis of a Formative Decade of Research in Affective Haptic System DesignProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580735(1-23)Online publication date: 19-Apr-2023
    • (2023)The effect of perceived global stress and altruism on prosocial driving behavior, yielding behavior, and yielding attitudeTraffic Injury Prevention10.1080/15389588.2023.219176524:5(402-408)Online publication date: 13-Apr-2023
    • (2022)Evaluation of two short-term stress interventions in the context of mobilityTransportation Research Part F: Traffic Psychology and Behaviour10.1016/j.trf.2021.11.00684(155-164)Online publication date: Jan-2022
    • (2021)Understanding User Requirements for Self-Created IoT Health Assistant SystemsProceedings of the 20th International Conference on Mobile and Ubiquitous Multimedia10.1145/3490632.3490645(43-55)Online publication date: 5-Dec-2021
    • (2020)Studying Personalized Just-in-time Auditory Breathing Guides and Potential Safety Implications during Simulated DrivingProceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3340631.3394854(275-283)Online publication date: 7-Jul-2020

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