AI-Assisted Causal Pathway Diagram for Human-Centered Design

Author:

Zhong Ruican1ORCID,Shin Donghoon1ORCID,Meza Rosemary2ORCID,Klasnja Predrag3ORCID,Colusso Lucas4ORCID,Hsieh Gary5ORCID

Affiliation:

1. Human Centered Design and Engineering, University of Washington, United States

2. Kaiser Permanente Washington Health Research Institute, United States

3. School of Information, University of Michigan, United States

4. Azure Data, Microsoft, United States

5. Human Centered Design & Engineering, University of Washington, United States

Funder

Research reported in this publication was supported by the National Cancer Institute of the National Institutes of Health under Award Number P50CA244432. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. This work also received feedback from Bryan Weiner, Cara Lewis, Aaron Lyon, and other members of the OPTICC Center.

Publisher

ACM

Reference107 articles.

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2. Shm Garanganao Almeda, JD Zamfirescu-Pereira, Kyu Won Kim, Pradeep Mani Rathnam, and Bjoern Hartmann. 2023. Prompting for Discovery: Flexible Sense-Making for AI Art-Making with Dreamsheets. arXiv preprint arXiv:2310.09985 (2023). https://arxiv.org/abs/2310.09985

3. ARE AI TOOLS GOING TO BE THE NEW DESIGNERS? A TAXONOMY FOR MEASURING THE LEVEL OF AUTOMATION OF DESIGN ACTIVITIES

4. InspirationWall

5. Crowdboard

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