8. Research Questions
1. iii) Introduction: Research Questions
What are the possible benefits of visual exploration?
What are the possible challenges of visual exploration?
How does a visual exploration system perform during use?
9. Methodology
3. i, ii, iiii) Research Methods
Pragmatism
Unmoderated usability evaluation
Convergent Parallel Mixed Methods Design
QUANT + QUAL
Mixed in Interpretation
11. Factors and Analysis Methods
3. v) Research Methods
Quantitative
Backend system data
Frontend UI data
Correlational analysis
Qualitative
Feedback form
(comments & critiques)
Thematic analysis
15. Why Mixed Methods?
4. i, ii, iii) Analysis of Mixed Methods
User needs/perception System Performance
Data AnalysisApproach Data Collection
16. Strengths of Mixed Methods
5. i, ii, iii) Analysis of Mixed Methods
Multi-faceted
view of data
Simple to execute
Data in same phase
Explains
unexpected results
Data AnalysisApproach Data Collection
17. 6. Analysis of Mixed Methods
Limitations
Limited population
& dataset
Single Coder?
Variation in
participation levels
Data AnalysisApproach Data Collection
18. • Soft claims / High-level findings
• Possible future research directions
• Did not include potential confounds
Quality of Interpretations
7. Analysis of Quality
19. • Detailed limitations provided
• Pathway to future research areas for visual search
Quality of Design Knowledge
8. Analysis of Design Knowledge
22. Key Terms
Multi-faceted
Having many definable aspects that make up a subject or
object.
Visual exploration
High-level form of information seeking.
Search-and-Browse Paradigm
Traditional means of discovering text-based content on the Web.
3. iv) Research Methods
Web-based information visualization
A multifaceted interactive graphical representation of
information can that be manipulated by interacting via the
graphical elements or traditional text queries.