12th - 13th September 2019
Bangor University, United Kingdom
In the field of computer animation, a major goal is to create virtual characters with emotion, personality and individual style using a variety of methods. What insights can we use from studies of human perception to help with this task? And in return, how can realistic virtual characters be used to study the perception of real humans? In this talk, I will present past and current research on that have addressed these questions.
Carol O'Sullivan is the Professor of Visual Computing in Trinity College Dublin, and Head of the School of Computer Science and Statistics. From 2013-2016 she was a Senior Research Scientist at Disney Research in Los Angeles, and spent a sabbatical year as Visiting Professor in Seoul National University from 2012-2013. She joined TCD as a lecturer in 1997 and served as the Dean of Graduate Studies from Jul'2007 to Jul'2010. Her research interests include graphics and perception, Computer Animation, Crowd and Human simulation. She has managed a range of projects with significant budgets during that time and successfully supervised many doctoral and post-doctoral researchers. She has been a member of many editorial boards and international program committees (including ACM SIGGRAPH and Eurographics), and has served as Editor in Chief for the ACM Transactions on Applied Perception from 2006-2012. She has been program or general chair for several conferences, including the annual Eurographics conference in 2005, the ACM Symposium on Computer Animation in 2006, and is the Courses Chair for ACM SIGGRAPH Asia 2018. Prior to her PhD studies, she spent several years in industry working in Software Development. She was elected a fellow of Trinity College for significant research achievement in 2003 and of the European Association for Computer Graphics (Eurographics) in 2007.
Empirical studies form an integral part of visualization research. While there has been a surge in what is often referred to as Evaluation, the domain and role played by empirical studies is much wider. Not only can empirical studies facilitate the evaluation of various designs, techniques, systems, and practices in visualization, but they can also enable the discovery of the causalities explaining why and how visualization works. Discovery is a challenging but rewarding task and when done through empirical studies design plays a crucial, and even painful, part. In this talk I will present examples and results of empirical research in visualization from my own and my collaborators’ work, hopefully inspiring some of your future work!
Rita Borgo is a Senior Lecturer in the Department of Informatics at King’s College London and is currently head of the Human Centred Computing Research Group. Her main research interests lie in the areas of information visualization and visual analytics, with particular focus on the role of human factors in visualization. Her research has followed an ambitious programme of developing new data visualization techniques for interactive rendering and manipulation of large multi-dimensional and multivariate datasets. Her research has been awarded support from the Royal Society, EPSRC and EU.