In this talk I will discuss design of interactive visualization tools that support the performance of complex cognitive activities, such as analytical reasoning, sense making, decision making, and problem solving. A number of foundational concepts related to interaction and complex cognitive activities will be discussed in the context of a theoretical design framework. The framework is general and coherent, dealing with several components of the design space, such as interaction, interactivity, cognitive activities, and visual representations.
The framework is intended to contribute to the development of a science of interaction and visualization. It is also intended to stimulate creativity and innovation in research and design for a number of domains and disciplines, including data and information visualization, visual analytics, digital libraries, health informatics, and decision support systems.
Dr. Kamran Sedig is an Associate Professor in the Department of Computer Science and the Faculty of Information and Media Studies at Western University, Canada. He holds a Ph.D. (1998) degree in Computer Science from the University of British Columbia. He has been doing research in the area of human-centered interactive visualizations since 1993. He is interested in the design of computer-based computational tools that help people perform information-intensive complex cognitive activities, such as sense making, decision making, data analysis, and learning.
As such, his research and publications span a range of topics such as information visualization, visual analytics, human-information interaction design, information interface design, health informatics, digital cognitive games, and cognitive and learning technologies. In the past few years, he has been working on the development of comprehensive frameworks that make the design and evaluation of visualizations and interactions more scientific.
This lecture is organized by the Information and Software Engineering Group at the Institute of Software Technology and Interactive Systems.