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

Mengdi Chu; Keyu Zong; Xin Shu; Jiangtao Gong; Zhicong Lu; Kaimin Guo; Xinyi Dai; Guyue Zhou

doi:10.1145/3544548.3581564

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

Mengdi Chu, Keyu Zong, Xin Shu, Jiangtao Gong^*, Zhicong Lu, Kaimin Guo, Xinyi Dai, Guyue Zhou

^*Corresponding author for this work

Department of Computer Science

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

17 Citations (Scopus)

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.

Original language	English
Title of host publication	CHI '23 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Editors	Albrecht Schmidt, Kaisa Väänänen, Tesh Goyal, Per Ola Kristensson, Anicia Peters, Stefanie Mueller, Julie R. Williamson, Max L. Wilson
Place of Publication	New York, NY
Publisher	Association for Computing Machinery
ISBN (Print)	9781450394215
DOIs	https://doi.org/10.1145/3544548.3581564
Publication status	Published - Apr 2023
Event	2023 CHI Conference on Human Factors in Computing Systems (CHI ’23): reCHInnecting - Hybrid, Hamburg, Germany Duration: 23 Apr 2023 → 28 Apr 2023 https://dl.acm.org/doi/proceedings/10.1145/3544548 https://chi2023.acm.org/

Publication series

Name	CHI
Publisher	Association for Computing Machinery

Conference

Conference	2023 CHI Conference on Human Factors in Computing Systems (CHI ’23)
Abbreviated title	CHI 2023
Place	Germany
City	Hamburg
Period	23/04/23 → 28/04/23
Internet address	https://dl.acm.org/doi/proceedings/10.1145/3544548 https://chi2023.acm.org/

Research Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access Output

10.1145/3544548.3581564

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Cite this

Chu, M., Zong, K., Shu, X., Gong, J., Lu, Z., Guo, K., Dai, X., & Zhou, G. (2023). Work with AI and Work for AI: Autonomous Vehicle Safety Drivers’ Lived Experiences. In A. Schmidt, K. Väänänen, T. Goyal, P. O. Kristensson, A. Peters, S. Mueller, J. R. Williamson, & M. L. Wilson (Eds.), CHI '23 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems Article 753 (CHI). Association for Computing Machinery. https://doi.org/10.1145/3544548.3581564

Chu, Mengdi ; Zong, Keyu ; Shu, Xin et al. / Work with AI and Work for AI : Autonomous Vehicle Safety Drivers’ Lived Experiences. CHI '23 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. editor / 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. (CHI).

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title = "Work with AI and Work for AI: Autonomous Vehicle Safety Drivers{\textquoteright} Lived Experiences",

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. {\textcopyright} 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.",

keywords = "AI labor, AI perception, autonomous driving, human-AI interaction, responsible AI",

author = "Mengdi Chu and Keyu Zong and Xin Shu and Jiangtao Gong and Zhicong Lu and Kaimin Guo and Xinyi Dai and Guyue Zhou",

year = "2023",

month = apr,

doi = "10.1145/3544548.3581564",

language = "English",

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booktitle = "CHI '23 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems",

address = "United States",

note = "2023 CHI Conference on Human Factors in Computing Systems (CHI {\textquoteright}23) : reCHInnecting, CHI 2023 ; Conference date: 23-04-2023 Through 28-04-2023",

url = "https://dl.acm.org/doi/proceedings/10.1145/3544548, https://chi2023.acm.org/",

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Chu, M, Zong, K, Shu, X, Gong, J, Lu, Z, Guo, K, Dai, X & Zhou, G 2023, Work with AI and Work for AI: Autonomous Vehicle Safety Drivers’ Lived Experiences. in A Schmidt, K Väänänen, T Goyal, PO Kristensson, A Peters, S Mueller, JR Williamson & ML Wilson (eds), CHI '23 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems., 753, CHI, Association for Computing Machinery, New York, NY, 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23), Hamburg, Germany, 23/04/23. https://doi.org/10.1145/3544548.3581564

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 Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Work with AI and Work for AI

T2 - 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23)

AU - Chu, Mengdi

AU - Zong, Keyu

AU - Shu, Xin

AU - Gong, Jiangtao

AU - Lu, Zhicong

AU - Guo, Kaimin

AU - Dai, Xinyi

AU - Zhou, Guyue

PY - 2023/4

Y1 - 2023/4

N2 - 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.

AB - 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.

KW - AI labor

KW - AI perception

KW - autonomous driving

KW - human-AI interaction

KW - responsible AI

U2 - 10.1145/3544548.3581564

DO - 10.1145/3544548.3581564

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781450394215

T3 - CHI

BT - CHI '23 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

A2 - Schmidt, Albrecht

A2 - Väänänen, Kaisa

A2 - Goyal, Tesh

A2 - Kristensson, Per Ola

A2 - Peters, Anicia

A2 - Mueller, Stefanie

A2 - Williamson, Julie R.

A2 - Wilson, Max L.

PB - Association for Computing Machinery

CY - New York, NY

Y2 - 23 April 2023 through 28 April 2023

ER -

Chu M, Zong K, Shu X, Gong J, Lu Z, Guo K et al. Work with AI and Work for AI: Autonomous Vehicle Safety Drivers’ Lived Experiences. In Schmidt A, Väänänen K, Goyal T, Kristensson PO, Peters A, Mueller S, Williamson JR, Wilson ML, editors, CHI '23 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. New York, NY: Association for Computing Machinery. 2023. 753. (CHI). Epub 2023 Apr 19. doi: 10.1145/3544548.3581564

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

Abstract

Publication series

Conference

Research Keywords

UN SDGs

Access Output

Other Access Options

Permanent Link

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