Visual analytics for complex concepts using a human cognition model

Tera Marie Green, William Ribarsky, Brian Fisher
2008 2008 IEEE Symposium on Visual Analytics Science and Technology  
As the information being visualized and the process of understanding it both become increasingly complex, it is necessary to develop new visualization approaches that facilitate the flow of human reasoning. In this paper, we endeavor to push visualization design a step beyond current user models by discussing a modeling framework of human "higher cognition." Based on this cognition model, we present design guidelines for the development of visual interfaces designed to maximize the
more » ... cognitive strengths of both human and computer. Additionally, this paper introduces cognition-based principles of visualization design. Some of these principles are already being reflected in the better visual analytics designs, while others have not yet been applied or fully applied. But none have explained the deeper rationale that the model provides. Lastly, we discuss and assess these visual analytics guidelines through the evaluation of several visualization examples.
doi:10.1109/vast.2008.4677361 dblp:conf/ieeevast/GreenRF08 fatcat:a4sdsycabnccnfuxxbvjqzavbq