CS295J/Week 4.11: Difference between revisions
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** look for class projects in responses | ** look for class projects in responses | ||
** do some more responses with projects? | ** 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 | |||
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