CS295J/Week 4.11: Difference between revisions

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New page: === tuesday class notes === * project ideas ** what is a theory of vis? ** your revisions, with that in mind ** some brainstorming on projects * theory of vis * pair-wise critiques of re...
 
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** some brainstorming on projects
** some brainstorming on projects
* theory of vis
* theory of vis
* crits
** number (to refer back) and clarify what's is being addressed
** clean up
** look for class projects in responses
** do some more responses with projects?


* pair-wise critiques of revisions, then revise for Thursday
=== thursday class notes (mostly dhl paper notes) ===
 
*Question: what 50-day project does this paper suggest?
*Statistics and visualization: Diem
**2008 abstract sounds great and very relevant: MILCs
**sounds a little I Caroline's CHI note
**some interesting uses of network visualization
**not a lot of details about actual ethnography
*automatic cognitive load detection from speech features: Jenna
**maybe 3 levels is enough for some things
**could be built into a 50 day experiment
*cognitive design principles: revealing and instantiating: Michael
**I like the spatial evaluation of participants
**this may generalize to visualization users, as well
**cool that they automated the process!
**Could we do the same thing to design network visualizations?
*Visual variability analysis for goal models: Chen
**title is hard to parse
** sounds like a “we tried a bunch of things” paper. 2004
*uncovering cognitive processes:…: Clara
**reminds me of Plaisant paper that suggests a research agenda
**some interesting methodological ingredients for our projects
*embodied models of simulated users: introduction: Nathan
**2001–wow, 10 years ago!
**Maybe we should look at Bonnie John's 1998 paper, as well
**great division of modeling for 3 uses: prediction, assistance, surrogacy
**in the special issue
**maybe we should look at the rest of the tools in this special issue
**great review article for the kind of modeling we want to do
**we should look at papers that cite this one!
**More extensive than most special issue introductions
*low-level components of analytic activity in information visualization: Steve
**wow, 200 questions!
**Maybe we could do a similar experiment in class
**the Schneiderman paper (or was it card) that goes along with tableau seems relevant here
**I worry that the task is too disinvesed to the users.
*Macro R&D: Stephen
**example does still exist--could we actually use it?
**Sounds less established than I would like
**what we had proposed was “community”
*collaborative synthesis of visual analytic results: Caroline
**some pretty pictures; some nice ethnographic results
**too Unstructured? Not enough “driving application"?
**I think our visualization application is a kind of visual analytics
**results look somewhat dauntingly complex
**post-its–nice
**boy, figure 6 sure shows incredible differences in strategies
**I come back to “driving application”
*the cognitive task analysis methods for job and task design: Hua
**2004
**focuses on jobs in general, not computer stuff
**all are based on gathering data via observation by a human
**table 2 very useful for characterizing different benefits
**wow, extensive; my cognitive load has been reached
 
*I'd like to get the cognitive bias ideas into class, as well as the 7 orders of magnitude paper

Latest revision as of 18:35, 29 September 2011

tuesday class notes

  • project ideas
    • what is a theory of vis?
    • your revisions, with that in mind
    • some brainstorming on projects
  • theory of vis
  • crits
    • number (to refer back) and clarify what's is being addressed
    • clean up
    • look for class projects in responses
    • do some more responses with projects?

thursday class notes (mostly dhl paper notes)

  • Question: what 50-day project does this paper suggest?
  • Statistics and visualization: Diem
    • 2008 abstract sounds great and very relevant: MILCs
    • sounds a little I Caroline's CHI note
    • some interesting uses of network visualization
    • not a lot of details about actual ethnography
  • automatic cognitive load detection from speech features: Jenna
    • maybe 3 levels is enough for some things
    • could be built into a 50 day experiment
  • cognitive design principles: revealing and instantiating: Michael
    • I like the spatial evaluation of participants
    • this may generalize to visualization users, as well
    • cool that they automated the process!
    • Could we do the same thing to design network visualizations?
  • Visual variability analysis for goal models: Chen
    • title is hard to parse
    • sounds like a “we tried a bunch of things” paper. 2004
  • uncovering cognitive processes:…: Clara
    • reminds me of Plaisant paper that suggests a research agenda
    • some interesting methodological ingredients for our projects
  • embodied models of simulated users: introduction: Nathan
    • 2001–wow, 10 years ago!
    • Maybe we should look at Bonnie John's 1998 paper, as well
    • great division of modeling for 3 uses: prediction, assistance, surrogacy
    • in the special issue
    • maybe we should look at the rest of the tools in this special issue
    • great review article for the kind of modeling we want to do
    • we should look at papers that cite this one!
    • More extensive than most special issue introductions
  • low-level components of analytic activity in information visualization: Steve
    • wow, 200 questions!
    • Maybe we could do a similar experiment in class
    • the Schneiderman paper (or was it card) that goes along with tableau seems relevant here
    • I worry that the task is too disinvesed to the users.
  • Macro R&D: Stephen
    • example does still exist--could we actually use it?
    • Sounds less established than I would like
    • what we had proposed was “community”
  • collaborative synthesis of visual analytic results: Caroline
    • some pretty pictures; some nice ethnographic results
    • too Unstructured? Not enough “driving application"?
    • I think our visualization application is a kind of visual analytics
    • results look somewhat dauntingly complex
    • post-its–nice
    • boy, figure 6 sure shows incredible differences in strategies
    • I come back to “driving application”
  • the cognitive task analysis methods for job and task design: Hua
    • 2004
    • focuses on jobs in general, not computer stuff
    • all are based on gathering data via observation by a human
    • table 2 very useful for characterizing different benefits
    • wow, extensive; my cognitive load has been reached
  • I'd like to get the cognitive bias ideas into class, as well as the 7 orders of magnitude paper