We present a novel approach to text visualization called descriptive non-photorealistic
rendering which exploits the inherent spatial and abstract dimensions in text documents
to integrate 3D non-photorealistic rendering with information visualization. The visualization
encodes text data onto 3D models, emphasizing the relative signi ficance of words
in the text and the physical, real-world relationships between those words. Analytic exploration
is supported through a collection of interactive widgets and direct multitouch
interaction with the 3D models. We applied our method to analyze a collection of vehicle
complaint reports from National Highway Traffic Safety Administration (NHTSA),
and through a qualitative evaluation study, we demonstrate how our system can support
tasks such as comparing the reliability of di fferent makes and models, finding interesting
facts, and revealing possible causal relations between car parts. / UOIT
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:OOSHDU.10155/291 |
| Date | 01 December 2012 |
| Creators | Chang, Meng-Wei |
| Contributors | Collins, Christopher |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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