Enhancing change detection and model comprehension in parametric design systems

Resource type
Thesis type
(Thesis) M.Sc.
Date created
2012-09-21
Authors/Contributors
Abstract
Change detection, control and comprehension are important tasks in parametric design for agile analysis and informed decision-making. Increasing complexity of parametric systems interfaces and design models, combined with human visual perception limitations can negatively influence designers' performance. In this thesis, I investigate change detection and human visual perceptual mechanisms in the context of parametric design. I propose a set of debugging-like interaction techniques on dataflow graph interfaces to assist with change detection and model comprehension by enabling designers to identify data flow effects, parametric dependencies, and changes. The work presents a series of sketches, interactive demonstrations, as well as a high-fidelity interactive prototype to evaluate the effectiveness of the techniques. The results of the tasks-based talk-aloud user studies support the proposed design and reveal valuable recommendations for further improvements. The thesis provides generalizable knowledge for change detection and control that can be used in other systems showing similarities to parametric system interfaces.
Document
Identifier
etd7487
Copyright statement
Copyright is held by the author.
Permissions
The author granted permission for the file to be printed and for the text to be copied and pasted.
Scholarly level
Supervisor or Senior Supervisor
Thesis advisor: Erhan, Halil
Thesis advisor: Woodbury, Robert
Attachment Size
etd7487_DNasirova.pdf 41.68 MB