A Framework Using Tangible Interaction for Automatically Capturing and Embedding Design Intent in Parametric Models
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The objective of this research is to address some of the challenges of parametric design associated with defining a model’s frameworks using mathematics and computer programming. This work proposes a tactile-based approach to automate the generation of such information. A design-based research method is implemented for this work, which involves developing research prototypes consisting of Tangible User-Interfaces (TUIs) to demonstrate and test the digital-physical workflow. Five prototypes were created each generating a type of information for setting up parametric models, including; linear and polynomial mathematical equations, algorithmic rules and seed configurations for a Cellular Automata (CA) component, geometric transformations (single and compound), and Non-Uniform Rational Basis Spline (NURBS) objects. During the progress of the work, prototypes were improved to include a higher level of automation by performing multiple and more complex modeling tasks. This research includes two levels of evaluation. The first is system correctness, which tests the prototypes for translating tangible interaction with design objects into modeling information. The second is a qualitative comparison between the developed method and the conventional parametric modeling approach using graph-based and/or text-based programming applications. The results of the research have shown the plausibility of the workflow and its potential benefits for parametric modeling practice and education. This work provides a proof-of-concept for a novel approach that translates design intents into mathematical and algorithmic modeling information for establishing parametric frameworks. The outcomes of this research include; detailed workflows describing algorithmic procedures for interpreting analog data, TUI specifications, and an overall theoretical framework of the method.
Building Information Modeling (BIM)
Tangible User Interface (TUI)
Al-Qattan, Emad Khaled (2019). A Framework Using Tangible Interaction for Automatically Capturing and Embedding Design Intent in Parametric Models. Doctoral dissertation, Texas A & M University. Available electronically from