CS295J/Literature to read for week 4.11
< CS295J
- Automatic cognitive load detection from speech features Yin-2007-ACL -- Jenna Zeigen
- Again, discusses a way to evaluate a user's cognitive load. Again, this is relevant to the reviewers comments that there lacked a plan to evaluate how well the visualizations would jive with cognitive principles. If we are using them properly, then cognitive load levels would be low. (Owner: Jenna, Discussant: Clara Kliman-Silver, Discussant: ?)
- Integrating statistics and visualization: case studies of gaining clarity during exploratory data analysis Perer-2008-ISV (Owner: Diem Tran, Discussant: ?, Discussant: ?)
- This paper tempts to integrate statistics methodology and visualizations in interactive exploratory tools. The authors conduct long term case studies to evaluate this approach, which give positive results about the effectiveness of the approach.
- The paper is an example of how exploratory tool can be evaluated in a long-term manner.
- Cognitive Design Principles for Visualizations Heiser-2003-CDP
- Claims that the design of visualizations can be informed by cognitive principles and, based on those principles, be automated. Their research has implications in any domain in which visualization in useful, including our proposed project. This is relevant to Jenna's response to reviewer #4, by showing that cognitive principles can and have been implemented in the design of visualizations. (Owner: Michael, Discussant: ?, Discussant: ?)
- Visual variability analysis for goal models Gonzales-2004-VVA
- This work first proposes a visual variability analysis technique, it analyses the correlation between functional goal models and softgoals(requirements variants), and tries to find the most satisfactory goal models and requirements. This can be used to illustrate how cognitive models like goal maintainence and multi task can be designed and achieved in our project. And the paper also implemented a tool to support the technique and this could give us some insights of how to put cognitive model into practice. (Owner: Chen, Discussant: ?, Discussant: ?)
- Data Visualization Optimization via Computational Modeling of Perception Pineo-2012-DVO
- This article, to be published next year, develops paradigms for optimizing data visualization in neural-perceptual models. The algorithms aid in visualizations of different areas of the brain and attempt to offer the best projections of neural systems and neural activity. Given that these models are new and highly advanced, they reinforce and extend much of the work in the proposal (Jenna's comment). (Owner: Clara Kliman-Silver, Discussant: ?, Discussant: ?)