http://vrl.cs.brown.edu/wiki/index.php?action=history&feed=atom&title=CS295J%2FLiterature_class_3.11CS295J/Literature class 3.11 - Revision history2026-04-20T22:22:06ZRevision history for this page on the wikiMediaWiki 1.43.1http://vrl.cs.brown.edu/wiki/index.php?title=CS295J/Literature_class_3.11&diff=5275&oldid=prevMichael Spector at 17:16, 22 September 20112011-09-22T17:16:45Z<p></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [http://sfu.academia.edu/ChrisShaw/Papers/138757/BrainFrame_A_Knowledge_Visualization_System_for_the_Neurosciences Brainframe: A Knowledge Visualization System for the Neurosciences] Shaw-2009-KVS</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [http://sfu.academia.edu/ChrisShaw/Papers/138757/BrainFrame_A_Knowledge_Visualization_System_for_the_Neurosciences Brainframe: A Knowledge Visualization System for the Neurosciences] Shaw-2009-KVS</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>: This paper begins with a brief overview of a problem plaguing the field of neuroscience today– namely, that there is so much data available that it can't be synthesized in a useful way by researchers– and the negative effects that arise as a result. The authors propose BrainFrame, a "knowledge management system," designed to streamline this massive amount of data into a formal set of concepts that can be organized <del style="font-weight: bold; text-decoration: none;">quantitatively</del>. Although BrainFrame is not explicitly a visualization system, this paper is highly relevant to our course on several levels. It shares a common focus of subject matter in neuroscience data management, it emphasizes ease of use based on human cognitive limitations, and it provides several guidelines for the construction of other similar knowledge management systems, based on existing examples. (Owner: Michael Spector, Discussant: Diem Tran, Discussant: Clara Kliman-Silver)</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>: This paper begins with a brief overview of a problem plaguing the field of neuroscience today– namely, that there is so much data available that it can't be synthesized in a useful way by researchers– and the negative effects that arise as a result. The authors propose BrainFrame, a "knowledge management system," designed to streamline this massive amount of data into a formal set of concepts that can be organized <ins style="font-weight: bold; text-decoration: none;">semantically</ins>. Although BrainFrame is not explicitly a visualization system, this paper is highly relevant to our course on several levels. It shares a common focus of subject matter in neuroscience data management, it emphasizes ease of use based on human cognitive limitations, and it provides several guidelines for the construction of other similar knowledge management systems, based on existing examples. (Owner: Michael Spector, Discussant: Diem Tran, Discussant: Clara Kliman-Silver)</div></td></tr>
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</table>Michael Spectorhttp://vrl.cs.brown.edu/wiki/index.php?title=CS295J/Literature_class_3.11&diff=5269&oldid=prevNathan Malkin at 16:40, 22 September 20112011-09-22T16:40:07Z<p></p>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">*</del>* "The central claim of this article is that attention can be controlled in the same way as actions using similar learning mechanisms and by related areas of the brain." </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">: Summary</ins></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">*</del>* "A computational model of attention is presented that uses habituation as well as classical and instrumental conditioning to explain a number of attentional processes."</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">:</ins>* "The central claim of this article is that attention can be controlled in the same way as actions using similar learning mechanisms and by related areas of the brain." </div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">*</del>* "Computer simulations are presented that illustrates the operation of the model."</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">:</ins>* "A computational model of attention is presented that uses habituation as well as classical and instrumental conditioning to explain a number of attentional processes."</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">:</ins>* "Computer simulations are presented that illustrates the operation of the model."</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">: Relevance</ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">:* Model of attention may have some predictive capabilities (i.e., might be able to use it to predict people's attention)</ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">:* Can use conditioning methods to train users to focus attention on important parts of the visualization (assuming we know what these important parts are)</ins></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>: (Owner: [[User:Nathan Malkin|Nathan Malkin]], Discussant: [[User:Hua Guo|Hua]], Discussant: ?)</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>: (Owner: [[User:Nathan Malkin|Nathan Malkin]], Discussant: [[User:Hua Guo|Hua]], Discussant: ?)</div></td></tr>
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</table>Nathan Malkinhttp://vrl.cs.brown.edu/wiki/index.php?title=CS295J/Literature_class_3.11&diff=5267&oldid=prevChen Xu at 16:31, 22 September 20112011-09-22T16:31:19Z<p></p>
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</table>Chen Xuhttp://vrl.cs.brown.edu/wiki/index.php?title=CS295J/Literature_class_3.11&diff=5266&oldid=prevHua Guo at 16:23, 22 September 20112011-09-22T16:23:25Z<p></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [http://ccom.unh.edu/vislab/PDFs/PineoWareTAP.pdf Data Visualization Optimization Computational Modeling of Perception] Ware-2011-TVCG </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [http://ccom.unh.edu/vislab/PDFs/PineoWareTAP.pdf Data Visualization Optimization Computational Modeling of Perception] Ware-2011-TVCG </div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>: In this paper, the author applies perceptual theory to visualization through computational modeling. A computational model has been implemented to generate 2D flow visualization, and the visualization is iteratively optimized. The model is an artificial neural network. It's first layer corresponds to the visualization image, the second layer to the human retina, and the third to the V1 region in the human vision system. The optimization criteria is that " the user's perception of the visual variables should closely <del style="font-weight: bold; text-decoration: none;">relates </del>to the data being expressed". The paper shows that this kind of computational models have three advantages: 1. It directly links improvement of visualization quality to advancement in understanding of human vision system; 2. It enables discovery of good visualization that the designer may not come up with otherwise; 3. The evaluation of the generated visualization can be readily adapted from the equations used in the optimization process, and can be automated. I think this is a unique and quantitative example of how cognition can be applied to visualization. (Owner: [[User:Hua Guo|Hua]], Discussant: Diem Tran, Discussant: [[User:Jenna Zeigen|Jenna Zeigen]] Sep.19, 2011)</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>: In this paper, the author applies perceptual theory to visualization through computational modeling. A computational model has been implemented to generate 2D flow visualization, and the visualization is iteratively optimized. The model is an artificial neural network. It's first layer corresponds to the visualization image, the second layer to the human retina, and the third to the V1 region in the human vision system. The optimization criteria is that " the user's perception of the visual variables should closely <ins style="font-weight: bold; text-decoration: none;">matches </ins>to the data being expressed". The paper shows that this kind of computational models have three advantages: 1. It directly links improvement of visualization quality to advancement in understanding of human vision system; 2. It enables discovery of good visualization that the designer may not come up with otherwise; 3. The evaluation of the generated visualization can be readily adapted from the equations used in the optimization process, and can be automated. I think this is a unique and quantitative example of how cognition can be applied to visualization. (Owner: [[User:Hua Guo|Hua]], Discussant: Diem Tran, Discussant: [[User:Jenna Zeigen|Jenna Zeigen]] Sep.19, 2011)</div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*[http://dl.acm.org/citation.cfm?id=1979013 Synchronous interaction among hundreds: an evaluation of a conference in an avatar-based virtual environment]CHI-2011</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*[http://dl.acm.org/citation.cfm?id=1979013 Synchronous interaction among hundreds: an evaluation of a conference in an avatar-based virtual environment]CHI-2011</div></td></tr>
</table>Hua Guohttp://vrl.cs.brown.edu/wiki/index.php?title=CS295J/Literature_class_3.11&diff=5265&oldid=prevHua Guo at 16:22, 22 September 20112011-09-22T16:22:41Z<p></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [http://ccom.unh.edu/vislab/PDFs/PineoWareTAP.pdf Data Visualization Optimization Computational Modeling of Perception] Ware-2011-TVCG </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [http://ccom.unh.edu/vislab/PDFs/PineoWareTAP.pdf Data Visualization Optimization Computational Modeling of Perception] Ware-2011-TVCG </div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>: <del style="font-weight: bold; text-decoration: none;">This </del>paper <del style="font-weight: bold; text-decoration: none;">presents a </del>computational model of human vision that can be used <del style="font-weight: bold; text-decoration: none;">to optimize </del>and <del style="font-weight: bold; text-decoration: none;">evaluate visualization systems</del>. I think this is a <del style="font-weight: bold; text-decoration: none;">great </del>example of <del style="font-weight: bold; text-decoration: none;">the application of cognitive modeling on </del>visualization. (Owner: [[User:Hua Guo|Hua]], Discussant: Diem Tran, Discussant: [[User:Jenna Zeigen|Jenna Zeigen]] Sep.19, 2011)</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>: <ins style="font-weight: bold; text-decoration: none;">In this </ins>paper<ins style="font-weight: bold; text-decoration: none;">, the author applies perceptual theory to visualization through computational modeling. A </ins>computational model <ins style="font-weight: bold; text-decoration: none;">has been implemented to generate 2D flow visualization, and the visualization is iteratively optimized. The model is an artificial neural network. It's first layer corresponds to the visualization image, the second layer to the human retina, and the third to the V1 region in the human vision system. The optimization criteria is that " the user's perception of the visual variables should closely relates to the data being expressed". The paper shows that this kind of computational models have three advantages: 1. It directly links improvement of visualization quality to advancement in understanding </ins>of human vision <ins style="font-weight: bold; text-decoration: none;">system; 2. It enables discovery of good visualization </ins>that <ins style="font-weight: bold; text-decoration: none;">the designer may not come up with otherwise; 3. The evaluation of the generated visualization </ins>can be <ins style="font-weight: bold; text-decoration: none;">readily adapted from the equations </ins>used <ins style="font-weight: bold; text-decoration: none;">in the optimization process, </ins>and <ins style="font-weight: bold; text-decoration: none;">can be automated</ins>. I think this is a <ins style="font-weight: bold; text-decoration: none;">unique and quantitative </ins>example of <ins style="font-weight: bold; text-decoration: none;">how cognition can be applied to </ins>visualization. (Owner: [[User:Hua Guo|Hua]], Discussant: Diem Tran, Discussant: [[User:Jenna Zeigen|Jenna Zeigen]] Sep.19, 2011)</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*[http://dl.acm.org/citation.cfm?id=1979013 Synchronous interaction among hundreds: an evaluation of a conference in an avatar-based virtual environment]CHI-2011</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*[http://dl.acm.org/citation.cfm?id=1979013 Synchronous interaction among hundreds: an evaluation of a conference in an avatar-based virtual environment]CHI-2011</div></td></tr>
</table>Hua Guohttp://vrl.cs.brown.edu/wiki/index.php?title=CS295J/Literature_class_3.11&diff=5261&oldid=prevJenna Zeigen at 03:55, 22 September 20112011-09-22T03:55:45Z<p></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*[http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1382909 Interactive Visualization of Small World Graphs] van Ham-2004-IVS</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*[http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1382909 Interactive Visualization of Small World Graphs] van Ham-2004-IVS</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>: The brain can be considered to be a small world type network. This paper <del style="font-weight: bold; text-decoration: none;">"present[s] a method </del>to <del style="font-weight: bold; text-decoration: none;">create scalable</del>, <del style="font-weight: bold; text-decoration: none;">interactive visualizations </del>of <del style="font-weight: bold; text-decoration: none;">small world graphs</del>, <del style="font-weight: bold; text-decoration: none;">allowing </del>the <del style="font-weight: bold; text-decoration: none;">user to inspect local </del>clusters <del style="font-weight: bold; text-decoration: none;">while maintaining a global overview </del>of <del style="font-weight: bold; text-decoration: none;">the entire structure</del>.<del style="font-weight: bold; text-decoration: none;">" </del>(Owner: [[User:Jenna Zeigen|Jenna Zeigen]]; Discussant: [[User:Steven Gomez | Steven Gomez]]; Discussant: ?)</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>:The brain can be considered to be a small world type network<ins style="font-weight: bold; text-decoration: none;">, and such networks are considered difficult to effectively visualize because of their high connectivity</ins>. This paper <ins style="font-weight: bold; text-decoration: none;">discusses specific ways the authors have found to make such visualizations detailed enough to convey enough information but abstracted and simple enough that they are easy </ins>to <ins style="font-weight: bold; text-decoration: none;">interact with. Specifically</ins>, <ins style="font-weight: bold; text-decoration: none;">they suggest use </ins>of <ins style="font-weight: bold; text-decoration: none;">a fish-eye distortions</ins>, <ins style="font-weight: bold; text-decoration: none;">different focuses based on distances to </ins>the <ins style="font-weight: bold; text-decoration: none;">section being examined, </ins>clusters of <ins style="font-weight: bold; text-decoration: none;">spherical nodes, and edge drawing conditional on length</ins>. (Owner: [[User:Jenna Zeigen|Jenna Zeigen]]; Discussant: [[User:Steven Gomez | Steven Gomez]]; Discussant: ?)</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.84.1888&rep=rep1&type=pdf Knowledge Visualization: Towards a New Discipline and Its Fields of Applications] Describes the process of visualing knowledge as opposed to simply information. This paper proposes the idea and presents recent research on the subject. Several examples are presented of different types of visualizations. They begin to make the case about non-2d graphical visualization and interactive methods. (Owner: [[User:Stephen Brawner|Stephen Brawner]], 21 September 2011, Discussant:? Discussant?)</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.84.1888&rep=rep1&type=pdf Knowledge Visualization: Towards a New Discipline and Its Fields of Applications] Describes the process of visualing knowledge as opposed to simply information. This paper proposes the idea and presents recent research on the subject. Several examples are presented of different types of visualizations. They begin to make the case about non-2d graphical visualization and interactive methods. (Owner: [[User:Stephen Brawner|Stephen Brawner]], 21 September 2011, Discussant:? Discussant?)</div></td></tr>
</table>Jenna Zeigenhttp://vrl.cs.brown.edu/wiki/index.php?title=CS295J/Literature_class_3.11&diff=5260&oldid=prevStephen Brawner at 03:28, 22 September 20112011-09-22T03:28:56Z<p></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>: The brain can be considered to be a small world type network. This paper "present[s] a method to create scalable, interactive visualizations of small world graphs, allowing the user to inspect local clusters while maintaining a global overview of the entire structure." (Owner: [[User:Jenna Zeigen|Jenna Zeigen]]; Discussant: [[User:Steven Gomez | Steven Gomez]]; Discussant: ?)</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>: The brain can be considered to be a small world type network. This paper "present[s] a method to create scalable, interactive visualizations of small world graphs, allowing the user to inspect local clusters while maintaining a global overview of the entire structure." (Owner: [[User:Jenna Zeigen|Jenna Zeigen]]; Discussant: [[User:Steven Gomez | Steven Gomez]]; Discussant: ?)</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.84.1888&rep=rep1&type=pdf Knowledge Visualization: Towards a New Discipline and Its Fields of Applications] Describes the process of visualing knowledge as opposed to simply information. This paper proposes the idea and presents recent research on the subject. Several examples are presented of different types of visualizations. They begin to make the case about non-2d graphical visualization and interactive methods. ([[User:Stephen Brawner|Stephen Brawner]], 21 September 2011)</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.84.1888&rep=rep1&type=pdf Knowledge Visualization: Towards a New Discipline and Its Fields of Applications] Describes the process of visualing knowledge as opposed to simply information. This paper proposes the idea and presents recent research on the subject. Several examples are presented of different types of visualizations. They begin to make the case about non-2d graphical visualization and interactive methods. (<ins style="font-weight: bold; text-decoration: none;">Owner: </ins>[[User:Stephen Brawner|Stephen Brawner]], 21 September 2011<ins style="font-weight: bold; text-decoration: none;">, Discussant:? Discussant?</ins>)</div></td></tr>
</table>Stephen Brawnerhttp://vrl.cs.brown.edu/wiki/index.php?title=CS295J/Literature_class_3.11&diff=5259&oldid=prevStephen Brawner at 03:28, 22 September 20112011-09-22T03:28:00Z<p></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*[http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1382909 Interactive Visualization of Small World Graphs] van Ham-2004-IVS</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*[http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1382909 Interactive Visualization of Small World Graphs] van Ham-2004-IVS</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>: The brain can be considered to be a small world type network. This paper "present[s] a method to create scalable, interactive visualizations of small world graphs, allowing the user to inspect local clusters while maintaining a global overview of the entire structure." (Owner: [[User:Jenna Zeigen|Jenna Zeigen]]; Discussant: [[User:Steven Gomez | Steven Gomez]]; Discussant: ?)</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>: The brain can be considered to be a small world type network. This paper "present[s] a method to create scalable, interactive visualizations of small world graphs, allowing the user to inspect local clusters while maintaining a global overview of the entire structure." (Owner: [[User:Jenna Zeigen|Jenna Zeigen]]; Discussant: [[User:Steven Gomez | Steven Gomez]]; Discussant: ?)</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.84.1888&rep=rep1&type=pdf Knowledge Visualization: Towards a New Discipline and Its Fields of Applications] Describes the process of visualing knowledge as opposed to simply information. This paper proposes the idea and presents recent research on the subject. Several examples are presented of different types of visualizations. They begin to make the case about non-2d graphical visualization and interactive methods. ([[User:Stephen Brawner|Stephen Brawner]], 21 September 2011)</ins></div></td></tr>
</table>Stephen Brawnerhttp://vrl.cs.brown.edu/wiki/index.php?title=CS295J/Literature_class_3.11&diff=5258&oldid=prevDiem Tran at 03:23, 22 September 20112011-09-22T03:23:30Z<p></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*[http://dl.acm.org/citation.cfm?id=989863.989880&coll=DL&dl=ACM&CFID=43496808&CFTOKEN=17350291 The Challenge of Information Visualization Evaluation] Plaisant-2004-CVE </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*[http://dl.acm.org/citation.cfm?id=989863.989880&coll=DL&dl=ACM&CFID=43496808&CFTOKEN=17350291 The Challenge of Information Visualization Evaluation] Plaisant-2004-CVE </div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>: The paper describes current evaluation practices being used in visualization research and challenges researchers are facing: </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>: The paper describes current evaluation practices being used in visualization research and challenges researchers are facing: </div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"> It </del>then <del style="font-weight: bold; text-decoration: none;">suggests possible steps </del>to <del style="font-weight: bold; text-decoration: none;">improve visualization evaluation</del>. (Owner: Diem Tran, Discussant: [[User:Steven Gomez | Steven Gomez]], Discussant: ?)</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># Most evaluations are done in lab settings, which may be different from real environments. </ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># Evaluations usually include only simple tasks, while users in different cases may use tasks with various complexity.</ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># Users may need to look at the data they examining from different prespectives, which makes it difficult to evaluate success of the tools. </ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># Current evaluations cannot quantify the risks related to errors/failure of the tools, or benefits and chances to explore new phenomenom of data.</ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">: The paper </ins>then <ins style="font-weight: bold; text-decoration: none;">describes a contest run </ins>to <ins style="font-weight: bold; text-decoration: none;">examine the use of benchmark datasets and tasks, the outcome shows that it is very difficult to fully evaluate an analysis tools given the benchmark, due to the complexity of the problem.</ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">: The paper ends with some case studies of successful analysis tools</ins>.</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">:</ins>(Owner: Diem Tran, Discussant: [[User:Steven Gomez | Steven Gomez]], Discussant: ?)</div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://docs.google.com/viewer?url=http%3A%2F%2Fwww.mifav.uniroma2.it%2Fiede_mk%2Fevents%2Fidea2010%2Fdoc%2FIxDEA_6_12.pdf Design and Evaluation of a Mobile Art Guide on iPod Touch]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://docs.google.com/viewer?url=http%3A%2F%2Fwww.mifav.uniroma2.it%2Fiede_mk%2Fevents%2Fidea2010%2Fdoc%2FIxDEA_6_12.pdf Design and Evaluation of a Mobile Art Guide on iPod Touch]</div></td></tr>
</table>Diem Tranhttp://vrl.cs.brown.edu/wiki/index.php?title=CS295J/Literature_class_3.11&diff=5256&oldid=prevMichael Spector at 03:13, 22 September 20112011-09-22T03:13:56Z<p></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [http://sfu.academia.edu/ChrisShaw/Papers/138757/BrainFrame_A_Knowledge_Visualization_System_for_the_Neurosciences Brainframe: A Knowledge Visualization System for the Neurosciences] Shaw-2009-KVS</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [http://sfu.academia.edu/ChrisShaw/Papers/138757/BrainFrame_A_Knowledge_Visualization_System_for_the_Neurosciences Brainframe: A Knowledge Visualization System for the Neurosciences] Shaw-2009-KVS</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>: This paper begins with a brief overview of a problem plaguing the field of neuroscience <del style="font-weight: bold; text-decoration: none;">today-- </del>namely, that there is so much data available that it can't be synthesized in a useful way by <del style="font-weight: bold; text-decoration: none;">researchers-- </del>and the negative effects that arise as a result. The authors propose BrainFrame, a "knowledge management system," designed to streamline this massive amount of data <del style="font-weight: bold; text-decoration: none;">in </del>a <del style="font-weight: bold; text-decoration: none;">way </del>that is <del style="font-weight: bold; text-decoration: none;">sensitive </del>to <del style="font-weight: bold; text-decoration: none;">the limitations </del>of human <del style="font-weight: bold; text-decoration: none;">cognition </del>and <del style="font-weight: bold; text-decoration: none;">perception</del>. (Owner: Michael Spector, Discussant: Diem Tran, Discussant: Clara Kliman-Silver)</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>: This paper begins with a brief overview of a problem plaguing the field of neuroscience <ins style="font-weight: bold; text-decoration: none;">today– </ins>namely, that there is so much data available that it can't be synthesized in a useful way by <ins style="font-weight: bold; text-decoration: none;">researchers– </ins>and the negative effects that arise as a result. The authors propose BrainFrame, a "knowledge management system," designed to streamline this massive amount of data <ins style="font-weight: bold; text-decoration: none;">into </ins>a <ins style="font-weight: bold; text-decoration: none;">formal set of concepts </ins>that <ins style="font-weight: bold; text-decoration: none;">can be organized quantitatively. Although BrainFrame </ins>is <ins style="font-weight: bold; text-decoration: none;">not explicitly a visualization system, this paper is highly relevant </ins>to <ins style="font-weight: bold; text-decoration: none;">our course on several levels. It shares a common focus of subject matter in neuroscience data management, it emphasizes ease </ins>of <ins style="font-weight: bold; text-decoration: none;">use based on </ins>human <ins style="font-weight: bold; text-decoration: none;">cognitive limitations, </ins>and <ins style="font-weight: bold; text-decoration: none;">it provides several guidelines for the construction of other similar knowledge management systems, based on existing examples</ins>. (Owner: Michael Spector, Discussant: Diem Tran, Discussant: Clara Kliman-Silver)</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*[http://dl.acm.org/citation.cfm?id=989863.989880&coll=DL&dl=ACM&CFID=43496808&CFTOKEN=17350291 The Challenge of Information Visualization Evaluation] Plaisant-2004-CVE </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*[http://dl.acm.org/citation.cfm?id=989863.989880&coll=DL&dl=ACM&CFID=43496808&CFTOKEN=17350291 The Challenge of Information Visualization Evaluation] Plaisant-2004-CVE </div></td></tr>
</table>Michael Spector