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Developing Functional Literacy of Machine Learning Among UX Design Students

Srivastava, Akshat
http://orcid.org/0000-0001-8885-4817
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1617104876484835

Abstract Details

2021, MDES, University of Cincinnati, Design, Architecture, Art and Planning: Design.
Machine Learning (ML) plays an increasingly important role in modern user experience (UX) design practice. Being one of the fastest evolving tech phenomena within the `AI boom,’ ML stands out as a field that could significantly benefit from more creative and critical thinking. Simultaneously, UX design students can benefit from increased literacy and competency in the already pervasive, highly relevant technology. However, contemporary UX design education fails to sufficiently empower young designers to work with cutting-edge technologies such as ML. A considerable amount of research has been conducted around designers’ (lack of) comprehension of ML. These prior studies focus on identifying and discussing the challenges faced by UX design practitioners in designing for ML; not much research exists to propose and/or evaluate solutions for designers’ lack of comprehension of ML. Further, none of the research in the UX design for ML space has focused on UX design students or education so far, though much of it identifies the lack of education of designers about ML as a major issue. Based on an analytical review of 88 introductory educational resources on UX design for ML, this thesis establishes a starting point for design educators to incorporate ML into undergraduate design curricula. It makes three primary contributions: 1) a set of guidelines for introductory education on UX design for ML, 2) a taxonomy of ML capabilities, use cases, and exemplars, and 3) a sample course proposal that demonstrates the application of (1) and (2) in undergraduate design education.
Matthew Wizinsky, M.F.A. (Committee Chair)
Renee Seward (Committee Member)
Craig Vogel, M.I.D. (Committee Member)
73 p.
Design
User Experience Design; Machine Learning; Human-Centered AI; Artificial Intelligence; Design Education

Recommended Citations

Citations

  • Srivastava, A. (2021). Developing Functional Literacy of Machine Learning Among UX Design Students [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1617104876484835

    APA Style (7th edition)

  • Srivastava, Akshat. Developing Functional Literacy of Machine Learning Among UX Design Students. 2021. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1617104876484835.

    MLA Style (8th edition)

  • Srivastava, Akshat. "Developing Functional Literacy of Machine Learning Among UX Design Students." Master's thesis, University of Cincinnati, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1617104876484835

    Chicago Manual of Style (17th edition)

ucin1617104876484835
216
© 2021, some rights reserved.Creative Commons License Developing Functional Literacy of Machine Learning Among UX Design Students by Akshat Srivastava is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.