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Navigating Tomorrow’s Web:
From Searching and Browsing to Visual Exploration
Marian Dork, Carey Williamson, Sheelagh Carpendale
Analyzed and Presented by:
Amelia Cole & Varshita Sher
IAT834 - Mixed Methods
Spring 2017
Research Problem
1.ii. Introduction: Problem
Unmoderated
remote (web)
study
1. i) Introduction: HACT
Context
Humans
763 participants
Average age is 30
79.2% male
50.2% from western
countries
42% web experts
1i. Introduction: HACT
Activity
1.i. Introduction: HACT
No predetermined tasks.
Users explored interface.
Technology
VisGets: A Data Visualization Tool
Online Demo > http://mariandoerk.de/visgets/demo/
1. i) Introduction: HACT
Research Goals
2: Implied Goals
Gain a better understanding of
visual exploration on the Web
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?
Methodology
3. i, ii, iiii) Research Methods
Pragmatism
Unmoderated usability evaluation
Convergent Parallel Mixed Methods Design
QUANT + QUAL
Mixed in Interpretation
Variables
3. iv) Research Methods
Data Collection
Factors and Analysis Methods
3. v) Research Methods
Quantitative
Backend system data
Frontend UI data
Correlational analysis

Qualitative
Feedback form
(comments & critiques)
Thematic analysis
Benefits
x. + Results
Multiple
search
dimensions
High-level
information
seeking
Exploratory
or comparative
information
Challenges
x. + Results
Learning
Curve
Adaptive
Visualizations
Empty
Results
Performance
x. + Results
S—-L—-O—-W
Why Mixed Methods?
4. i, ii, iii) Analysis of Mixed Methods
User needs/perception System Performance
Data AnalysisApproach Data Collection
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
6. Analysis of Mixed Methods
Limitations
Limited population
& dataset
Single Coder?
Variation in
participation levels
Data AnalysisApproach Data Collection
• Soft claims / High-level findings
• Possible future research directions
• Did not include potential confounds
Quality of Interpretations
7. Analysis of Quality
• Detailed limitations provided
• Pathway to future research areas for visual search
Quality of Design Knowledge
8. Analysis of Design Knowledge
Appendix
System responsiveness
Client Processing
(29.5%)
Network Transit
(42.8%)
Server processing
(27.5%)
TimeLocation TagsText Queries
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.

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Mixed Methods Analysis: Navigating Tomorrow's Web