Work with AI and Work for AI : Autonomous Vehicle Safety Drivers’ Lived Experiences

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

5 Scopus Citations
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Author(s)

  • Mengdi Chu
  • Keyu Zong
  • Xin Shu
  • Jiangtao Gong
  • Kaimin Guo
  • Xinyi Dai
  • Guyue Zhou

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationCHI '23 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
EditorsAlbrecht Schmidt, Kaisa Väänänen, Tesh Goyal, Per Ola Kristensson, Anicia Peters, Stefanie Mueller, Julie R. Williamson, Max L. Wilson
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery
ISBN (print)9781450394215
Publication statusPublished - Apr 2023

Publication series

NameCHI
PublisherAssociation for Computing Machinery

Conference

Title2023 CHI Conference on Human Factors in Computing Systems (CHI ’23)
LocationHybrid
PlaceGermany
CityHamburg
Period23 - 28 April 2023

Abstract

The development of Autonomous Vehicle (AV) has created a novel job, the safety driver, recruited from experienced drivers to supervise and operate AV in numerous driving missions. Safety drivers usually work with non-perfect AV in high-risk real-world traffic environments for road testing tasks. However, this group of workers is under-explored in the HCI community. To fill this gap, we conducted semi-structured interviews with 26 safety drivers. Our results present how safety drivers cope with defective algorithms and shape and calibrate their perceptions while working with AV. We found that, as front-line workers, safety drivers are forced to take risks accumulated from the AV industry upstream and are also confronting restricted self-development in working for AV development. We contribute the first empirical evidence of the lived experience of safety drivers, the first passengers in the development of AV, and also the grassroots workers for AV, which can shed light on future human-AI interaction research. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.

Research Area(s)

  • AI labor, AI perception, autonomous driving, human-AI interaction, responsible AI

Citation Format(s)

Work with AI and Work for AI: Autonomous Vehicle Safety Drivers’ Lived Experiences. / Chu, Mengdi; Zong, Keyu; Shu, Xin et al.
CHI '23 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. ed. / Albrecht Schmidt; Kaisa Väänänen; Tesh Goyal; Per Ola Kristensson; Anicia Peters; Stefanie Mueller; Julie R. Williamson; Max L. Wilson. New York, NY: Association for Computing Machinery, 2023. 753 (CHI).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review