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A Few Critical Human Factors for Developing Sustainable Autonomous Driving Technology

Author

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  • José Fernando Sabando Cárdenas

    (HR Business Partner, Holcim Ecuador S.A., Guayaquil 090150, Ecuador)

  • Jong Gyu Shin

    (School of Industrial Engineering, Kumoh National Institute of Technology, Gumi 39177, Korea)

  • Sang Ho Kim

    (School of Industrial Engineering, Kumoh National Institute of Technology, Gumi 39177, Korea)

Abstract

The purpose of this study is to develop a framework that can identify critical human factors (HFs) that can generate human errors and, consequently, accidents in autonomous driving level 3 situations. Although much emphasis has been placed on developing hardware and software components for self-driving cars, interactions between a human driver and an autonomous car have not been examined. Because user acceptance and trust are substantial for the further and sustainable development of autonomous driving technology, considering factors that will influence user satisfaction is crucial. As autonomous driving is a new field of research, the literature review in other established fields was performed to draw out these probable HFs. Herein, interrelationship matrices were deployed to identify critical HFs and analyze the associations between these HFs and their impact on performance. Age, focus, multitasking capabilities, intelligence, and learning speed are selected as the most critical HFs in autonomous driving technology. Considering these factors in designing interactions between drivers and automated driving systems will enhance users’ acceptance of the technology and its sustainability by securing good usability and user experiences.

Suggested Citation

  • José Fernando Sabando Cárdenas & Jong Gyu Shin & Sang Ho Kim, 2020. "A Few Critical Human Factors for Developing Sustainable Autonomous Driving Technology," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:3030-:d:343572
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    References listed on IDEAS

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    1. Marcel Walch & Kristin Mühl & Martin Baumann & Michael Weber, 2017. "Autonomous Driving: Investigating the Feasibility of Bimodal Take-Over Requests," International Journal of Mobile Human Computer Interaction (IJMHCI), IGI Global, vol. 9(2), pages 58-74, April.
    2. Hamed Taherdoost, 2019. "Importance of Technology Acceptance Assessment for Successful Implementation and Development of New Technologies," Post-Print hal-02557395, HAL.
    3. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    4. Vinayak V Dixit & Sai Chand & Divya J Nair, 2016. "Autonomous Vehicles: Disengagements, Accidents and Reaction Times," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-14, December.
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    Cited by:

    1. Cheng Hong & Yufang Guo & Yuhong Wang & Tingting Li, 2023. "The Integrated Scheduling Optimization for Container Handling by Using Driverless Electric Truck in Automated Container Terminal," Sustainability, MDPI, vol. 15(6), pages 1-22, March.

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