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  4. CELLNET: Bio-Inspired Adaptive Cellular Interface in Mixed Reality

CELLNET: Bio-Inspired Adaptive Cellular Interface in Mixed Reality

File(s)
Yoon_cornell_0058O_11741.pdf (59.18 MB)
Permanent Link(s)
https://doi.org/10.7298/pzpd-xf96
https://hdl.handle.net/1813/113971
Collections
Cornell Theses and Dissertations
Author
Yoon, Hoon
Abstract

CellNet demonstrates how a microscopic cellular system-inspired graphic user interface (GUI) could embody the plant cell's internal mechanisms and be manipulated by users' gestures and physical environments. In particular, based upon a plant cell's hormone-related cell growth regulatory system, CellNet simulates various cell growth regulatory system-driven cell interfaces in which a cell growth inhibiting agent affects cells' collective proliferation. The cell interfaces in the development processes are modeled to be responsive to users' diverse hand/body gestural movements and react with biomimetic motions in AR/MR environments. Also, as a methodological framework, CellNet establishes UX-driven gestural principles on how the user interacts with the cell interface by the various hand/body gestural patterns. Through these trajectories, CellNet ultimately aims to explore future opportunities on how this bio-inspired interface could serve as a biological testbed for biologists, and a pedagogical tool for children in terms of learning nature in an immersive and interactive way.

Date Issued
2023-05
Keywords
Bio-Inspired Design
•
Gestural Pattern
•
Graphic User Interface (GUI)
•
Parametric Modeling
•
Tangible User Interface (TUI)
•
User Experience (UX)
Committee Chair
Sabin, Jenny
Committee Member
Ju, Wendy
Lotfijam, Farzin
Degree Discipline
Architecture
Degree Name
M.S., Architecture
Degree Level
Master of Science
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights URI
https://creativecommons.org/licenses/by-nc-nd/4.0/
Type
dissertation or thesis
Link(s) to Catalog Record
https://newcatalog.library.cornell.edu/catalog/16176505

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