Exploring Text Entities with Descriptive Non-photorealistic Rendering

Contributors

Daniel Chang, Christopher Collins

Abstract

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 significance 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 different makes and models, finding interesting facts, and revealing possible causal relations between car parts.

Publications

  • M. Chang, “Exploring Entities in Text with Descriptive Non-photorealistic Rendering,” Master’s Thesis, 2012.
    [Bibtex] [PDF]
    @MastersThesis{CHA2012a,
      author =    {Meng-Wei Chang},
      title =    {Exploring Entities in Text with Descriptive Non-photorealistic Rendering},
      school =    {University of Ontario Institute of Technology},
      year =    2012
    }
  • M. Chang and C. Collins, “Exploring Entities in Text with Descriptive Non-photorealistic Rendering,” in Proc. of the 2013 IEEE Pacific Visualization Symposium (PACIFICVIS ’13), 2013.
    [Bibtex] [PDF]
    @InProceedings{CHA2013a,
      author = {Meng-Wei Chang and Christopher Collins},
      title = {Exploring Entities in Text with Descriptive Non-photorealistic Rendering},
      booktitle = {Proc. of the 2013 IEEE Pacific Visualization Symposium (PACIFICVIS '13)},
      year = 2013
    }

Gallery

Video

Acknowledgements

 

Research

EduApps – Supporting Non-Native English Speakers to Overcome Language Transfer Effects

Metatation: Annotation as Implicit Interaction to Bridge Close and Distant Reading

DataTours: A Data Narratives Framework

Perceptual Biases in Font Size as a Data Encoding

Progressive Learning of Topic Modeling Parameters: A Visual Analytics Framework

Abbreviating Text Labels on Demand

NEREx: Named-Entity Relationship Exploration in Multi-Party Conversations

ConToVi: Multi-Party Conversation Exploration using Topic-Space Views

PhysioEx: Visual Analysis of Physiological Event Streams

Using Visual Analytics of Heart Rate Variation to Aid in Diagnostics

Off-Screen Desktop

PivotSlice

Reading Comprehension on Mobile Devices

#FluxFlow: Visual Analysis of Anomalous Information Spreading on Social Media

Optimizing Hierarchical Visualizations with the Minimum Description Length Principle

Lexichrome

SentimentState: Exploring Sentiment Analysis on Twitter

Facilitating Discourse Analysis with Interactive Visualization

DimpVis

Glidgets

TandemTable

Simple Multi-Touch Toolkit

Exploring Text Entities with Descriptive Non-photorealistic Rendering

Investigating the Semantic Patterns of Passwords

Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations

Parallel Tag Clouds to Explore Faceted Text Corpora

VisLink: Revealing Relationships Amongst Visualizations

DocuBurst: Visualizing Document Content using Language Structure

Tabletop Text Entry Techniques

Lattice Uncertainty Visualization: Understanding Machine Translation and Speech Recognition

WordNet Visualization

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