Transcript Visualizacao-Gr-DannyRamon-apresentacao

1/28
Visual Thinking Process
(Anatomia do Ecossistema de Pontos de Troca de
Tráfego Públicos na Internet do Brasil)
Visualização e Gerência de Informação (IA369)
Professor Léo Pini Magalhães
Danny Lachos
Ramon Fontes
2/28
Agenda
1. Introduction
2. Main concepts
3. Paper
4. Visual Thinking Algorithms
5. Conclusions
6. References
3/28
Agenda
1. Introduction
2. Main concepts
3. Paper
4. Visual Thinking Algorithms
5. Conclusions
6. References
4/28
Introduction
• Many visualization systems are designed to help us hunt for new
information.
• Reducing the cost of knowledge requires that we optimize cognitive
algorithms that run on a peculiar kind of hybrid computer.
• Cognitive productivity is the amount of valuable cognitive work done
per unit of time.
• We will be examining the characteristics of human–computer cognitive
systems (Interactive visualization).
5/28
Agenda
1. Introduction
2. Main concepts
3. Paper
4. Visual Thinking Algorithms
5. Conclusions
6. References
6/28
Main Concepts
THE COGNITIVE SYSTEM
At any given instant, visual working memory
contains a small amount of information.
To
execute
in
the
computer, changing the
nature of the information
that is displayed.
For visual queries to be useful, a
problem must first be cast in the form of
a visual pattern.
7/28
Main Concepts
MEMORY AND ATTENTION
There are three types of memory:
• Iconic memory is a very short-term image store, holding what is on the retina
until it is replaced by something else or until several hundred milliseconds
have passed.
• Visual working memory holds the visual objects of immediate attention.
• Long-term memory is the information that we retain from every day
experience, perhaps for a lifetime.
8/28
Main Concepts
VISUAL WORKING MEMORY CAPACITY (1/2)
• Visual working memory can be roughly defined as the visual information
retained from one fixation to the next.
• This appears to be limited to about three to five simple objects
(Irwin,1992;Luck & Vogel, 1997;Melcher,2001;Xu,2002).
One set of objects was shown for a Shown that about three objects
fraction of a second(0.4sec), followed by a can be retained without error.
blank of more than 0.5 sec. After the
blank, the same pattern was shown, but
with one attribute of an object altered.
Colors were combined with concentric Six colors could be held in visual
squares
working memory, but if they
were
put
in
side-by-side
squares, then only three colors
could be retained.
9/28
Main Concepts
VISUAL WORKING MEMORY CAPACITY (2/2)
What are the implications for data glyph design?
• Data glyph is a visual object that displays one or more data variables.
• If it is important that a data glyph be held in visual working memory, then it is
important that its shape allows it to be encoded according to visual working
memory capacity.
An integrated glyph containing a colored arrow Three of the integrated glyphs
showing
orientation
by
arrow
direction, could be held in visual working
temperature by arrow color, and pressure by memory.
arrow width.
A representation distributes the three quantities Only one of the nonintegrated
among three separate visual objects: orientation glyphs could be held in visual
by an arrow, temperature by the color of a circle, working memory.
and air pressure by the height of a rectangle.
10/28
Agenda
1. Introduction
2. Main concepts
3. Paper
4. Visual Thinking Algorithms
5. Conclusions
6. References
11/28
Paper
H. B. B. Samuel, A. S. S. Mateus, R. F. Ramon, A. L.
P. Danny and E. R. Christian. “Anatomia do
Ecossistema de Pontos de Troca de Tráfego
Públicos na Internet do Brasil”. SBRC 2015.
Melhor compreensão do complexo ecossistema da Internet
Pesquisas em PTTs - Intenet eXchange Point (IXP).
12/28
Paper
AS-PATH
18881 2901 8991 19090 19090 19090 19090 18291
18881 8911 12312 53453
17831 137501 124150 1231
18881 12313 434634 8907 1231 1231 1231
17831 9011 12141 54351 98524
13/28
Paper
14/28
Agenda
1. Introduction
2. Main concepts
3. Paper
4. Visual Thinking Algorithms
5. Conclusions
6. References
Visual Thinking
Algorithms
15/28
 Visual Queries
 Pathfinding on a Map or Diagram
 Reasoning with a Hybrid of a Visual is play and Mental Imagery
 Design Sketching
 Brushing
 Small Pattern Comparisons in a Large Information Space
 Degree-of-Relevance Highlighting
 Generalized Fisheye Views
 Multidimensional Dynamic Queries with Scatter Plot
 Visual Monitoring Strategies
Visual Thinking
Algorithms
16/28
 Visual Queries
 Pathfinding on a Map or Diagram
 Reasoning with a Hybrid of a Visual is play and Mental Imagery
 Design Sketching
 Brushing
 Small Pattern Comparisons in a Large Information Space
 Degree-of-Relevance Highlighting
 Generalized Fisheye Views
 Multidimensional Dynamic Queries with Scatter Plot
 Visual Monitoring Strategies
#1 Pathfinding on a Map
or Diagram
17/28
#1 Pathfinding on a Map
or Diagram
18/28
#2 Small Pattern Comparisons in
a Large Information Space
19/28
#2 Small Pattern Comparisons in
a Large Information Space
20/28
#3 Degree-of-Relevance
Highlighting
21/28
#3 Degree-of-Relevance
Highlighting
22/28
#3 Degree-of-Relevance
Highlighting
23/28
24/28
Agenda
1. Introduction
2. Main concepts
3. Paper
4. Visual Thinking Algorithms
5. Conclusions
6. References
25/28
Conclusions
There are limitations of working memory capacity.
Is essential to enable people to rapidly move
attention from one meaningful pattern to another.
There are visual thinking algorithms that may to
encourage thinking about cognitive tools
26/28
Agenda
1. Introduction
2. Main concepts
3. Paper
4. Visual Thinking Algorithms
5. Conclusions
6. References
27/28
References
 H. B. B. Samuel, A. S. S. Mateus, R. F. Ramon, A. L. P.
Danny and E. R. Christian. “Anatomia do Ecossistema de
Pontos de Troca de Tráfego Públicos na Internet do Brasil”.
SBRC 2015.
 Information Visualization - Perception for Design B. Colin
Ware, Morgan Kaufman - Elsevier, 2013, ISBN 978-0-12381464-7
28/28
Thank you!
Danny Lachos
Ramon Fontes