Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience

Q. Vera Liao, Hariharan Subramonyam, Jennifer Wang, Jennifer Wortman Vaughan. Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience. In Albrecht Schmidt 0001, Kaisa Väänänen, Tesh Goyal, Per Ola Kristensson, Anicia Peters, Stefanie Mueller 0001, Julie R. Williamson, Max L. Wilson 0001, editors, Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, Hamburg, Germany, April 23-28, 2023. ACM, 2023. [doi]

@inproceedings{LiaoSWV23,
  title = {Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience},
  author = {Q. Vera Liao and Hariharan Subramonyam and Jennifer Wang and Jennifer Wortman Vaughan},
  year = {2023},
  doi = {10.1145/3544548.3580652},
  url = {https://doi.org/10.1145/3544548.3580652},
  researchr = {https://researchr.org/publication/LiaoSWV23},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, Hamburg, Germany, April 23-28, 2023},
  editor = {Albrecht Schmidt 0001 and Kaisa Väänänen and Tesh Goyal and Per Ola Kristensson and Anicia Peters and Stefanie Mueller 0001 and Julie R. Williamson and Max L. Wilson 0001},
  publisher = {ACM},
  isbn = {978-1-4503-9421-5},
}