Semantic interaction for visual analytics : inferring analytical reasoning for model steering /
User interaction in visual analytic systems is critical to enabling visual data exploration. Interaction transforms people from mere viewers to active participants in the process of analyzing and understanding data. This discourse between people and data enables people to understand aspects of their...
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| Format: | Book |
| Language: | English |
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[San Rafael, California] :
Morgan & Claypool,
2016
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| Series: | Synthesis digital library of engineering and computer science
Synthesis lectures on visualization ; #7 |
| Subjects: |
Table of Contents:
- 1. Introduction
- 1.1 The role of visual analytics in a data-driven era
- 1.2 Semantic interaction
- 1.3 Outline
- 2. Fundamentals
- 2.1 Sensemaking and analytical reasoning
- 2.2 The use of analytic models in visual analytics
- 2.3 User interaction
- 2.3.1 Modeling user interest from user interaction
- 2.4 Model steering
- 2.5 Mixed-initiative system principles
- 3. Spatializations for sensemaking using visual analytics
- 3.1 The value of manually organizing data in spatializations
- 3.2 Computationally generating spatializations
- 4. Semantic interaction
- 4.1 Designing for semantic interaction
- 4.1.1 Capturing the semantic interaction
- 4.1.2 Interpreting the associated analytical reasoning
- 4.1.3 Updating the underlying model
- 4.2 Exploring the semantic interaction design space
- 4.2.1 The interaction-feedback loop
- 4.2.2 Approximating and modeling user interest
- 4.2.3 Choice of mathematical model
- 4.2.4 Relative and absolute spatial adjustments
- 5. Applications that integrate semantic interaction
- 5.1 ForceSPIRE: semantic interaction for spatializations of text corpora
- 5.1.1 Constructing the spatial metaphor
- 5.1.2 Semantic interaction in ForceSPIRE
- 5.1.3 Model updates
- 5.2 Semantic interaction for dimension reduction models
- 5.2.1 Probabilistic principal component analysis (PPCA)
- 5.2.2 Multi-dimensional scaling (MDS)
- 5.2.3 Generative topographic mapping (GTM)
- 5.2.4 InterAxis: steering scatterplot axes
- 6. Evaluating semantic interaction
- 6.1 Methodology considerations
- 6.1.1 Evaluation of analytic process
- 6.1.2 Evaluation of analytic product
- 6.2 Example: evaluating semantic interaction in ForceSPIRE
- 6.2.1 Method
- 6.2.2 Results
- 7. Discussion and open challenges
- 7.1 User interaction for visual analytics
- 7.2 Effects of semantic interaction on analytic process
- 7.3 Differentiating bias from intuition
- 7.4 Additional visual representations and interactions
- 8. Conclusion
- References
- Author's biography