The power of alternate representations
May 24th, 14:00
Telecom Paris Tech room F503
To visualize data one of the first steps is to develop a visual representation. This representation is a result of a mapping by which the data can be specified. Much has been said of about the power of these visual representations. Simon (1981) said that solving a problem is simply a matter of representing so as to make the solution transparent – implying that finding the right representation solves the problem. Card et al. (1998) said that interactive visual representations can amplify our cognition – can in effect make us smarter. In spite of this, the small box in the visualization creation pipeline that signifies the development of the visual representation remains one of the least unpacked. Through examples from my own work and others’, I will discuss the power and potential of alternate visual representations.
Sheelagh Carpendale is a Full Professor at the University of Calgary where she holds a Tier 1 Canada Research Chair in Information Visualization and an NSERC/AITF/SMART Industrial Research Chair in Interactive Technologies. She has many received awards including the E.W.R. NSERC STEACIE (a major national science award), a BAFTA (British equivalent of an Oscar); the Alberta ASTech Award, the Canadian Human Computer Communications Society Achievement Award, and was featured in Canada’s Science, Technology and Innovation Council - State of the Nation 2012 - report. Dr. Carpendale directs the Innovations in Visualization (InnoVis) research group and initiated the interdisciplinary graduate program, Computational Media Design. She is an internationally renowned leader in both information visualization and large display interaction. Her research focuses on information visualization, interaction design, and qualitative empirical research. By studying how people interact with information both in work and social settings, she works towards designing more natural, accessible and understandable interactive visual representations of data. She combines information visualization, visual analytics and human-computer interaction with innovative new interaction techniques to better support the everyday practices of people who are viewing, representing, and interacting with information.