Vortrag | Prof. Sheelagh Carpendale, University of Calgary, Canada

Titel

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 solvesthe 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.

In this talk I will provide an alternative and expanded view. I’ll provide a very rapid overview of key issues with humans, interactive visualization and visual analytics, and highlight several points which need to be addressed (think research opportunities). I will present three related challenges I am currently working on as examples: ultra high dimensional interactive data visualization; visualization theory; and coupled interactive visualization and machine learning.

Speaker’s Bio

Sheelagh Carpendale is a Professor in Computer Science at the University of Calgary where she holds a Canada Research Chair in Information Visualization and NSERC/AITF/SMART Technologies Industrial Research Chair in Interactive Technologies. She has many received awards including the E.W.R. NSERC STEACIE Memorial Fellowship; a BAFTA (British Academy of Film & Television Arts Interactive Awards - British equivalent to an Oscar); the industrially focused ASTech Innovations in Technology award; and the CHCCS Achievement Award, which is presented to a Canadian researcher who has made a substantial contribution to the fields of computer graphics, visualization, or human-computer interaction.

She has served in significant international roles such as Papers, Program, or Conference Chair for IEEE InfoVis, and ACM ISS (Interactive Surfaces and Spaces, formerly ITS) and has received both the IEEE and ACM recognition of service awards. She is currently on the IEEE Infovis Steering Committee and Chairs the ACM ISS Steering Committee. She leads the Innovations in Visualization (InnoVis) research group and initiated the interdisciplinary graduate program, Computational Media Design. Her research draws upon her combined backgrounds in computer science and visual arts, benefiting from the interdisciplinary cross-fertilization to enable the design of innovative, people-centred information technologies. By studying how people interact with information both in work and social practices, 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.