IDEAS home Printed from https://ideas.repec.org/h/spr/prochp/978-3-031-83512-4_15.html
   My bibliography  Save this book chapter

A Multi-Method Assessment of Human-AI Interaction in Delivery Driving: Examining Driver Stress, Fatigue, Attention, Situation Awareness, and Risky Driving Behavior

Author

Listed:
  • Mario Passalacqua

    (Université du Québec à Montréal)

  • Robert Pellerin

    (Polytechnique Montréal)

  • Sylvain Sénécal

    (HEC Montréal)

  • Pierre-Majorique Léger

    (HEC Montréal)

Abstract

Artificial intelligence (AI) is used by logistics companies to optimize delivery driver route characteristics. When creating routes, the AI makes decisions that optimize efficiency and cost reduction. These decisions, however, can significantly increase the risk of driving accidents by affecting driver stress, fatigue, attention, situation awareness (SA), and risky driving behavior. Driving accidents during work have risen by 40% from 2020 to 2021 and represent the most fatal of all workplace accidents, highlighting the importance of accident prevention. The current chapter proposes a continuous multi-method assessment of delivery drivers’ physiological, perceptual, and behavioral states throughout the work shift. Our methodology was then applied to a series of pilot tests in which a delivery driver was monitored for approximately 12 hours. The results indicated that our methodology is viable for evaluating driver fatigue, stress, attention, situation awareness, and risky driving behaviors over the course of an entire work shift. We believe that our methodology can be successfully applied in delivery contexts to reduce the rising number of driving accidents. Other applications of our methodology to enhance human-AI interaction are also discussed.

Suggested Citation

  • Mario Passalacqua & Robert Pellerin & Sylvain Sénécal & Pierre-Majorique Léger, 2025. "A Multi-Method Assessment of Human-AI Interaction in Delivery Driving: Examining Driver Stress, Fatigue, Attention, Situation Awareness, and Risky Driving Behavior," Progress in IS,, Springer.
    • Handle: RePEc:spr:prochp:978-3-031-83512-4_15
    DOI: 10.1007/978-3-031-83512-4_15
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:prochp:978-3-031-83512-4_15. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.