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Visual Thinking Process (Anatomia do Ecossistema de Pontos de Troca de Tráfego Públicos na Internet do Brasil) Visualização e Gerência de Informação (IA369)

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Presentation on theme: "Visual Thinking Process (Anatomia do Ecossistema de Pontos de Troca de Tráfego Públicos na Internet do Brasil) Visualização e Gerência de Informação (IA369)"— Presentation transcript:

1 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 1/28

2 Agenda 1. Introduction 2. Main concepts 3. Paper 4. Visual Thinking Algorithms 5. Conclusions 6. References 2/28

3 Agenda 1. Introduction 2. Main concepts 3. Paper 4. Visual Thinking Algorithms 5. Conclusions 6. References 3/28

4 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). 4/28

5 Agenda 1. Introduction 2. Main concepts 3. Paper 4. Visual Thinking Algorithms 5. Conclusions 6. References 5/28

6 Main Concepts THE COGNITIVE SYSTEM At any given instant, visual working memory contains a small amount of information. For visual queries to be useful, a problem must first be cast in the form of a visual pattern. To execute in the computer, changing the nature of the information that is displayed. 6/28

7 Main Concepts 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. MEMORY AND ATTENTION 7/28

8 Main Concepts 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). VISUAL WORKING MEMORY CAPACITY (1/2) One set of objects was shown for a fraction of a second(0.4sec), followed by a blank of more than 0.5 sec. After the blank, the same pattern was shown, but with one attribute of an object altered. Shown that about three objects can be retained without error. Colors were combined with concentric squares Six colors could be held in visual working memory, but if they were put in side-by-side squares, then only three colors could be retained. 8/28

9 Main Concepts 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. VISUAL WORKING MEMORY CAPACITY (2/2) An integrated glyph containing a colored arrow showing orientation by arrow direction, temperature by arrow color, and pressure by arrow width. Three of the integrated glyphs could be held in visual working memory. A representation distributes the three quantities among three separate visual objects: orientation by an arrow, temperature by the color of a circle, and air pressure by the height of a rectangle. O nly one of the nonintegrated glyphs could be held in visual working memory. 9/28

10 Agenda 1. Introduction 2. Main concepts 3. Paper 4. Visual Thinking Algorithms 5. Conclusions 6. References 10/28

11 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  Melhor compreensão do complexo ecossistema da Internet  Pesquisas em PTTs - Intenet eXchange Point (IXP). 11/28

12 Paper  AS-PATH /28

13 Paper 13/28

14 Agenda 1. Introduction 2. Main concepts 3. Paper 4. Visual Thinking Algorithms 5. Conclusions 6. References 14/28

15 V isual T hinking A lgorithms  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 15/28

16 V isual T hinking A lgorithms  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 16/28

17 #1 Pathfinding on a Map or Diagram 17/28

18 #1 Pathfinding on a Map or Diagram 18/28

19 #2 Small Pattern Comparisons in a Large Information Space 19/28

20 #2 Small Pattern Comparisons in a Large Information Space 20/28

21 #3 Degree-of-Relevance Highlighting 21/28

22 #3 Degree-of-Relevance Highlighting 22/28

23 #3 Degree-of-Relevance Highlighting 23/28

24 Agenda 1. Introduction 2. Main concepts 3. Paper 4. Visual Thinking Algorithms 5. Conclusions 6. References 24/28

25 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 25/28

26 Agenda 1. Introduction 2. Main concepts 3. Paper 4. Visual Thinking Algorithms 5. Conclusions 6. References 26/28

27 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  Information Visualization - Perception for Design B. Colin Ware, Morgan Kaufman - Elsevier, 2013, ISBN /28

28 Thank you! Danny Lachos Ramon Fontes 28/28


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