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CHI Blog - Zack Henkel
Tuesday, April 26, 2011
Bonus Paper #1: iSlideshow: a Content-Aware Slideshow System
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Sunday, April 24, 2011
Paper Reading #25 - Finding Your Way in a Multi-dimensional Semantic Space with Luminoso
Comments
Reference
Finding Your Way in a Multi-dimensional Semantic Space with Luminoso
Robert Speer, Catherine Havasi, Nichole Treadway, Henry Lieberman
IUI 2010 - Hong Kong
Summary
This paper focuses on an interface designed to aide researchers in visualizing a semantic space. A strong focus is placed on recognizing links between semantic data as well as identifying patterns in the data. The process relies on two earlier developed tools which create the semantic nodes of interest. A set of documents is input, with the option to mark certain documents as more important than others. Relationships are then determined between documents by comparing natural language patterns. A projection of the multidimensional data into 2D screen space is then performed -- yielding a circular like representation. The paper focuses on the action of “grabbing” which allows a user to select a particular semantic aspect and change the projections to gain more insight into connections.
Analysis
While this paper didn’t quite sell me on the “grabbing” feature (which it over emphasized), I think the overall interface and tools presented here would be quite useful when looking at large datasets. It would be interesting to take data from a user’s web browsing history and run it through this process. It would be particularly interesting to see what kind of links are derived by the algorithms as far as thoughts sparking other thoughts--- I think we might see some neat connections we wouldn’t otherwise think of. Overall this is an interesting tool and I’d be interested in experimenting with it.
Living With Complexity: Full Blog
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Thursday, April 21, 2011
Living With Complexity: Microblogs
Media Equation: Full Blog
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Wednesday, April 20, 2011
Why We Make Mistakes: Full Blog
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Paper Reading #24 - Using Language Complexity to Measure Cognitive Load for Adaptive Interaction Design
Comments
Reference
Using Language Complexity to Measure Cognitive Load for Adaptive Interaction Design
M. Asif Khawaja, Fang Chen, Nadine Marcus
IUI 2010 - Hong Kong
Summary
This paper attempts to discover some correlation between language complexity and cognitive load. The long term focus is that when speech technology is a able, a system could detect a user’s cognitive load through their words. The paper inspected transcribed speech data from bushfire response teams during both high and low cognitive load experiences. The paper hypothesized that increased cognitive load would lead to lower complexity in vocabulary. Additionally the paper hypothesizes that easy tasks will result in short simple sentences opposed to more difficult tasks which will have longer sentences. As predicted increased cognitive load led to lower complexity in vocabulary. However, there was an increasing trend in complex word ratio showed a increase with cognitive load.
Analysis
This work was interesting, as it is evident in everyday life that humans alter their speaking patterns and word choices depending on the situation. I would have enjoyed seeing a study focused on pauses, tone, and volume of speech -- as these are attributes which supply quite a bit of information and that could be somewhat measurable in realtime with current technology. Also interesting would be the study of cultural differences in patterns associated with cognitive load. This work is very motivating of future studies and areas of study.