CS295J/Literature class 3.11: Difference between revisions

From VrlWiki
Jump to navigation Jump to search
No edit summary
No edit summary
Line 1: Line 1:
* [http://delivery.acm.org/10.1145/1980000/1978995/p363-pan.pdf?ip=138.16.109.17&CFID=42891662&CFTOKEN=62664825&__acm__=1316465415_bf314f267e966fb3000292152378c16a Now Where Was I? Psychologically-Triggered Bookmarking], Pan et al., CHI '11
* [http://delivery.acm.org/10.1145/1980000/1978995/p363-pan.pdf?ip=138.16.109.17&CFID=42891662&CFTOKEN=62664825&__acm__=1316465415_bf314f267e966fb3000292152378c16a Now Where Was I? Psychologically-Triggered Bookmarking], Pan et al., CHI '11
: Presents an interaction paradigm for implicitly bookmarking application progress/media during user interruptions (e.g., phone ringing) using galvanic skin response (GSR) to identify interruptions, or the orienting response (OR), automatically.  The authors evaluate how well GSR works for identifying user ORs, and describe a few experiments using an audiobook listener application that creates bookmarks (stored and represented in a GUI) automatically when GSR peaks in response to controlled stimuli.  In our project, we're looking at predicting user states (or effect on task performance), so this is an example of that kind of predictive affect-tracking that has been engineered into a usability feature.  (Owner: [[User:Steven Gomez|Steven Gomez]] 17:13, 19 September 2011 (EDT))
: Presents an interaction paradigm for implicitly bookmarking application progress/media during user interruptions (e.g., phone ringing) using galvanic skin response (GSR) to identify interruptions, or the orienting response (OR), automatically.  The authors evaluate how well GSR works for identifying user ORs, and describe a few experiments using an audiobook listener application that creates bookmarks (stored and represented in a GUI) automatically when GSR peaks in response to controlled stimuli.  In our project, we're looking at predicting user states (or effect on task performance), so this is an example of that kind of predictive affect-tracking that has been engineered into a usability feature.  (Owner: [[User:Steven Gomez|Steven Gomez]], Discussant: Wenjun Wang,Discussant:? 17:13, 19 September 2011 (EDT))


* [http://ccom.unh.edu/vislab/PDFs/PineoWareTAP.pdf Data Visualization Optimization Computational Modeling of Perception] Ware-2011-TVCG  
* [http://ccom.unh.edu/vislab/PDFs/PineoWareTAP.pdf Data Visualization Optimization Computational Modeling of Perception] Ware-2011-TVCG  
: This paper presents a computational model of human vision that can be used to optimize and evaluate visualization systems. I think this is a great example of the application of cognitive modeling on visualization. (Owner: [[User:Hua Guo|Hua]], Discussant: ?, Discussant: ? Sep.19, 2011)
: This paper presents a computational model of human vision that can be used to optimize and evaluate visualization systems. I think this is a great example of the application of cognitive modeling on visualization. (Owner: [[User:Hua Guo|Hua]], Discussant: ?, Discussant: ? Sep.19, 2011)

Revision as of 03:31, 20 September 2011

Presents an interaction paradigm for implicitly bookmarking application progress/media during user interruptions (e.g., phone ringing) using galvanic skin response (GSR) to identify interruptions, or the orienting response (OR), automatically. The authors evaluate how well GSR works for identifying user ORs, and describe a few experiments using an audiobook listener application that creates bookmarks (stored and represented in a GUI) automatically when GSR peaks in response to controlled stimuli. In our project, we're looking at predicting user states (or effect on task performance), so this is an example of that kind of predictive affect-tracking that has been engineered into a usability feature. (Owner: Steven Gomez, Discussant: Wenjun Wang,Discussant:? 17:13, 19 September 2011 (EDT))
This paper presents a computational model of human vision that can be used to optimize and evaluate visualization systems. I think this is a great example of the application of cognitive modeling on visualization. (Owner: Hua, Discussant: ?, Discussant: ? Sep.19, 2011)