Angie Zhang

PhD Student @ UT Austin



School of Information

University of Texas at Austin



Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data Probes


Conference paper


Angie Zhang, Alexander Boltz, Jonathan Lynn, Chun-Wei Wang, Min Kyung Lee
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023, pp. 1--19

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APA   Click to copy
Zhang, A., Boltz, A., Lynn, J., Wang, C.-W., & Lee, M. K. (2023). Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data Probes. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1–19).


Chicago/Turabian   Click to copy
Zhang, Angie, Alexander Boltz, Jonathan Lynn, Chun-Wei Wang, and Min Kyung Lee. “Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data Probes.” In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 1–19, 2023.


MLA   Click to copy
Zhang, Angie, et al. “Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data Probes.” Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023, pp. 1–19.


BibTeX   Click to copy

@inproceedings{zhang2023a,
  title = {Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data Probes},
  year = {2023},
  pages = {1--19},
  author = {Zhang, Angie and Boltz, Alexander and Lynn, Jonathan and Wang, Chun-Wei and Lee, Min Kyung},
  booktitle = {Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems}
}


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