a study on glyph-based visualisation with dense visual context
TRANSCRIPT
Department of Engineering Science & Oxford e-Research Centre
A Study on Glyph-based
Visualisation with Dense
Visual Context
Saiful Khan, Karl J. Proctor, Simon Walton, Rene
Bañares-Alcántara, and Min Chen
CGVC 10-11 September 2014, Leeds, UK
Department of Engineering Science & Oxford e-Research Centre
Motivation
•Government Soft Landings (GSL) policy proposed by UK cabinet on 2011.
Site Acquisition
Planning
Design
ProcurementConstruction
Management
Facility Management
Decommission
BIM
Client
Architect
Engineers
Contractor
Sub-contractor
BIM Operator
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Challenge
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Solution: RDBMS
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Problem: RDBMS
Amount of resources?
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Solution: Search
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Challenge
• Search quality
• List or tabular view
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Information Visualisation
Solution
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Multi-attribute based Document Search
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Search Interface
Crawler AgentsQuery Processor
History CacheOntology
Visualization
23
1
5
Crawler Manager
1 2 3 4Expand query Update history Search in cache
1
Receive query
3
2
1 Fetch History 2 Crawl File Systems 3 Update Cache
Dis
trib
ute
d F
ile S
yste
m
4
5 Update result
7
6
6 7Relevance feedback Train ontologies
BIM Document Search Engine
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Search Result Visualisation (Dots)
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Search Result Visualisation (Glyphs)
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Problem
• Static dots vs. animated dots
• Static dots vs. static glyphs
• Static glyphs vs. animated glyphs
• Animated dots vs. animated glyphs
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Related Work
• Treemap [Shneiderman, 1991]
• Pixel-based visualization [Keim, 2000; Oelke, 2011]
• Glyph placing strategies and visual encoding [Ward, 2001, 2008]
• Web search result visualization [xFind, 2001; Hoeber & Xue, 2006]
• Glyph-based web search results visualization [Roberts et al., 2002;Chau, 2011]
• Animation in motion coding for patterns [Ware & Bobrow, 2006]
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File System Glyph
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• Motivation: Occlusion
• Potential problem: Perceptual difficulty in animation
• Proposed Solution: Transfer function
• Optimisation: Empirical studies
Cyclically-Animated Glyph
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Transfer Functions
1 2 3 4 5
6 7 8 9 10
11 12 13 14 15
Gro
up
1G
ro
up
2G
ro
up
3
0
1
0 0.2 0.4 0.6 0.8 1
0
1
0 0.2 0.4 0.6 0.8 1
0
1
0 0.2 0.4 0.6 0.8 1
0
1
0 0.2 0.4 0.6 0.8 10
1
0 0.2 0.4 0.6 0.8 1
0
1
0 0.2 0.4 0.6 0.8 1
0
1
0 0.2 0.4 0.6 0.8 1
0
1
0 0.2 0.4 0.6 0.8 1
0
1
0 0.2 0.4 0.6 0.8 1
0
1
0 0.2 0.4 0.6 0.8 1
0
1
0 0.2 0.4 0.6 0.8 1
0
1
0 0.2 0.4 0.6 0.8 1
0
1
0 0.2 0.4 0.6 0.8 1
0
1
0 0.2 0.4 0.6 0.8 1
0
1
0 0.2 0.4 0.6 0.8 1
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Empirical Studies
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Results: Focus & Context
Exp.1 Context Information Exp.2 Focus Information
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Results: JND
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Problem
• Static dots vs. animated dots
• Static dots vs. static glyphs
• Static glyphs vs. animated glyphs
• Animated dots vs. animated glyphs
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Static Dots vs. Animated Dots
80%
10%
10%
Preference
Animated Static Undecided
40%
60%
Annoying: Animated Dots
Yes No
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Static Dots vs. Static Glyphs
30%40%
70%60%
Learning Memorising
Difficulty
Easy Difficult
90%
10%
Willingness to Learn
Yes No
60%
40%
Preference
Glyphs Dots
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Static Glyphs vs. Animated Glyphs
80%
20%
Annoying: Animated Glyphs
Yes No
60%70%
40%30%
Search Results
Fi le Attributes
Difficulty
Easy Difficult
20%
20%
60%
Preference
Animated Static No preference
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Animated Dots vs. Animated Glyphs
50%
40%
10%
Preference
Dots Glyphs Undecided
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Summary
Animated Dots
Static Glyphs Animated Glyphs
Static Dots
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• Participants learned the visual encoding quickly.
• Suggested various glyph design options.
• Suggestions are included in the revised design.
• Participants found the proposed visualisation is useful:
– Quickly interpreting the search results and their location.
– Easier to navigate through file system hierarchies.
Discussion
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Thank you.