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Anish Shrestha - Thesis 2023.pdf (24.54 MB)

ETD Abstract Container

Abstract Header

Applying Emerging Technologies to Facilitate Participatory Modeling

Shrestha, Anish
http://orcid.org/0000-0001-8230-0215
http://rave.ohiolink.edu/etdc/view?acc_num=miami1681837041405954

Abstract Details

2023, Master of Computer Science, Miami University, Computer Science and Software Engineering.
Participatory modeling creates a shared and comprehensive representation of a complex societal problem. The necessity and benefits of participatory modeling are particularly apparent in interdisciplinary and multi-factorial problems such as obesity and suicide. However, comprehensive models built by many stakeholders can have too many factors to comprehend. Participatory modeling is thus only transparent when participants contribute their knowledge, as they cannot always benefit from the group-level knowledge contained in larger maps. Furthermore, the interdisciplinary nature of a problem and the increasingly common practice of global (and therefore remote) collaborations between participants result in a heightened need for emerging collaborative technologies as part of the modeling process. In this thesis, I designed, implemented, and evaluate new systems to solve the issues of transparency in causal maps and support remote collaborations. First, I created a series of systems to transform a network-based model (causal maps and fuzzy cognitive maps) into textual reports, using state-of-the-art large-scale pretrained large language models (LLMs) such as GPT 3 and GPT 3.5. Second, I created the first application leveraging mixed reality devices to accommodate collaborative modeling. The evaluations of my systems demonstrate their potential through metrics that include accuracy (for natural language generation) or time-to-completion (for usability).
Philippe Giabbanelli, J. (Advisor)
John Femiani, C. (Committee Member)
Xianglong Feng (Committee Member)
146 p.
Computer Science
Participatory modeling, Concept Maps, Fuzzy Cognitive Maps, Virtual Reality, Extended Reality, Natural Language, Emerging Technologies

Recommended Citations

Citations

  • Shrestha, A. (2023). Applying Emerging Technologies to Facilitate Participatory Modeling [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1681837041405954

    APA Style (7th edition)

  • Shrestha, Anish. Applying Emerging Technologies to Facilitate Participatory Modeling. 2023. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1681837041405954.

    MLA Style (8th edition)

  • Shrestha, Anish. "Applying Emerging Technologies to Facilitate Participatory Modeling." Master's thesis, Miami University, 2023. http://rave.ohiolink.edu/etdc/view?acc_num=miami1681837041405954

    Chicago Manual of Style (17th edition)

miami1681837041405954
242
© 2023, all rights reserved.
This open access ETD is published by Miami University and OhioLINK.