Cognitive Modeling and Eye-tracking/NSF Proposal: Difference between revisions
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Steven Gomez (talk | contribs) →6/26: notes from skype today |
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== Minutes == | == Minutes == | ||
=== 8/10 === | |||
Weaknesses in CHS Small proposal: | |||
* "level of sensemaking tasks and insight characterization are less well-defined and should be '''supplemented with concrete examples and metrics''' (e.g., cost of cognitive operations) | |||
* 'reasoning' and 'sensemaking' levels could be named differently to avoid some confusion | |||
* unit-task level modeling is restricted to a narrow scope (good) but the other levels are not (too vague) | |||
* not clear how individual differences work will be incorporated into models | |||
* lacks a cohesive process for using the three models - '''clarify how an end-user of the modeling knowledge we produce will apply it to their own system''' | |||
Discussion: | |||
* Get rid of three levels. The pieces can remain but we should rephrase it to focus on the most important parts related to sensemaking. | |||
* Two main pieces in the research plan: model to predict internal reasoning state ('reasoning model') and model to predict analysis outcomes ('insight model') | |||
* Relationship between those two pieces should be clarified. What is the benefit of each? How are they used? | |||
* New title sounds OK | |||
Next steps: | |||
* Hua: comment on notes regarding adding specificity | |||
* Hua: explore solution for working with repo/online | |||
* Steve: take another pass on proposal integrating what we talked about | |||
=== 6/26 === | === 6/26 === | ||
Weaknesses in Expedition: | Weaknesses in Expedition: | ||
Revision as of 17:37, 10 August 2015
2015 Proposal Info
RFP
The IIS RFP is available at: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=13707
NSF IIS Deadlines
- MEDIUM Projects: September 10 - September 16, Annually Thereafter
- LARGE Projects: September 18 - September 24, Annually Thereafter
- SMALL Projects: November 4 - November 18, Annually Thereafter
Minutes
8/10
Weaknesses in CHS Small proposal:
- "level of sensemaking tasks and insight characterization are less well-defined and should be supplemented with concrete examples and metrics (e.g., cost of cognitive operations)
- 'reasoning' and 'sensemaking' levels could be named differently to avoid some confusion
- unit-task level modeling is restricted to a narrow scope (good) but the other levels are not (too vague)
- not clear how individual differences work will be incorporated into models
- lacks a cohesive process for using the three models - clarify how an end-user of the modeling knowledge we produce will apply it to their own system
Discussion:
- Get rid of three levels. The pieces can remain but we should rephrase it to focus on the most important parts related to sensemaking.
- Two main pieces in the research plan: model to predict internal reasoning state ('reasoning model') and model to predict analysis outcomes ('insight model')
- Relationship between those two pieces should be clarified. What is the benefit of each? How are they used?
- New title sounds OK
Next steps:
- Hua: comment on notes regarding adding specificity
- Hua: explore solution for working with repo/online
- Steve: take another pass on proposal integrating what we talked about
6/26
Weaknesses in Expedition:
- Genomics area lacking details; visualization examples
- Genomics applications not cohesive enough
- Possibly cut Rand, epigenetics
- Possibly cut Benoist, ImmGen
- [Build on this] Application areas can be strengthened
- Badre application need update/more specification
Strengths:
- Reviewers liked "Personalization of visualization complexity based on user expertise"
- [Build on this] What models are needed to achieve this?
- (dhl wants to make sure this is personalization for enhanced performance not just for preference and that the costs of personalization are also taken into account. these might include learnability and loss of common knowledge (imagine if everyone's keyboard or car controls were different...)
- Reviewers liked "Automatic suggestions of visualizations based on user task"
- Constructing and integrating a predictive model of user's goal based on query and browsing history
- [Build on this] Related to Hua's proposed model of Exploratory and Focused Search stages
Ideas for new content:
- Get the Yurt involved
- 2D visualizations in the Yurt? (e.g., D3, web-based)
Past Proposals to NSF
Other Proposals
Hua's PhD proposal overlaps with the NSF proposal topic and is worth drawing upon. It is available here: http://cs.brown.edu/~huag/prop.pdf