SLIDE 1
The Perceptual Proxies of Visual Comparison
Presented by: Youssef Sherif
1
Visual comparison
2
Bigger Mean? Bigger Range?
The Perceptual Proxies of Visual Comparison Presented by: Youssef - - PowerPoint PPT Presentation
The Perceptual Proxies of Visual Comparison Presented by: Youssef - - PowerPoint PPT Presentation
The Perceptual Proxies of Visual Comparison Presented by: Youssef Sherif 1 Visual comparison Bigger Mean? Bigger Range? 2 A bit of History Examine the precision of comparison tasks with different arrangements Max Correlation Max Delta 3
SLIDE 2
SLIDE 3
A bit of History
Examine the precision of comparison tasks with different arrangements
Max Correlation Max Delta
3
SLIDE 4
Arrangements
4
SLIDE 5
Dimensions
- 2 comparison tasks
- 3 marks
- 5 arrangements
5
SLIDE 6
6
SLIDE 7
2 more tasks to experiment with
- Max Mean
- Max Range
7
SLIDE 8
2 more tasks to experiment with
- Max Mean
- Max Range
8
SLIDE 9
How to increase difficulty?
Staircase procedure Which set in each pair has a bigger mean?
Easy Hard
9
SLIDE 10
10
SLIDE 11
11
SLIDE 12
What is visually compared?
12
What steps do our brain do in
- rder to reach for a conclusion?
SLIDE 13
What is visually compared?
13
SLIDE 14
What is visually compared?
14
SLIDE 15
Proxies for scatter plots
15
Bounding Box Prediction Ellipse What does your brain do to know the correlation between two factors in a scatterplot?
SLIDE 16
Proxies for bar charts
- Different from scatterplot
- Allows for different tasks like comparing mean and
comparing range instead of only one task
- Different tasks map to different proxies
16
SLIDE 17
Proxy bots
- Not computer vision systems
- Only know how to do one thing
- Simple algorithms
17
SLIDE 18
What do these proxy bots do?
18
SLIDE 19
Example: Top-Item proxy bot
19
SLIDE 20
Example: Range proxy bot
20
SLIDE 21
Example: Convex hull proxy bot
21
SLIDE 22
Example: Convex hull proxy bot
22
SLIDE 23
Example: Convex hull proxy bot
23
SLIDE 24
Example: Convex hull proxy bot
24
Which have a centroid farther to the right?
SLIDE 25
Convex hull proxy bot
25
Which have a larger area?
SLIDE 26
Focal proxies
26
SLIDE 27
Global proxies
27
SLIDE 28
What to do with the proxy bots?
We need to answer two questions 1. Which proxies are accurate for each task (useful)? 2. Which proxies are used by humans for each task (used)?
28
SLIDE 29
29
SLIDE 30
Results
- Global visual features are better candidates for the MAXMEAN comparisons
- Focal visual features are better candidates for MAXRANGE compar-isons.
- People tend to make decisions consistent with using the most useful visual
features
30
SLIDE 31
Strengths
- Novel idea which is to build proxy bots and use these bots to understand what
humans do to for specific visualization tasks
- Provided clear examples of what proxy bots are and clear examples of tasks
and arrangements
- Were generous to provide a video for their paper
- Did not shy away from mentioning their failed attempts in proving a correlation
- f two tasks
- Used visualizations in their paper to make it easier for readers to comprehend
- Clearly mentioned their limitations and caveats in the paper
31
SLIDE 32
Weaknesses
- Were discouraged of establishing a correlation between arrangements with
tasks after conducting two extra tasks only
- Did not show clearly on which basis did they categorize proxy bots into two
categories (item based and set-based)
- Looks like they had 2 unrelated contributions
32
SLIDE 33
Future work
- How can different datasets affect what proxy the user uses
- Example: “In a visualization with two charts with one large item outlier, the
single item outlier might capture attention provoke a focal comparison.”
33
SLIDE 34
References
- https://vimeo.com/371939151
- https://vimeo.com/360050277
34
SLIDE 35
Thank you
35