Speaker: Prof. Helwig Hauser
Abstract
Interactive visual data exploration is wide-spread in data science – not only as part of hypothesis generation, but also when prototyping appropriate analysis workflows. Interactive visualization is a key ingredient and a solid foundation of useful methods – both through appropriate visual repre-sentations as well as due to user interaction techniques, including coordinated multiple views, link-ing and brushing, focus+context visualization, etc.
In this talk, we take a look at the role of interaction in visual data science. We examine potential benefits – for example, how interactive visualization becomes part of externalization, enabling and supporting complementary levels of cognition during data exploration – as well as possible down-sides (human-in-the-loop processes are potentially costly, requiring the user's time, for example). We review also, how interactive visualization can be understood as a form of dialogue between the analyst and her/his data and we analyze, which requirements – primarily in the temporal sense – are faced when establishing an effective and efficient interaction.
Besides an overview of selected examples from published work in visualization research, we also considered a few examples from own work on interactive visual data exploration and analysis, in-cluding a demonstration of how deep learning can help to optimize user interaction in visualization.
Bio
Helwig Hauser is professor in visualization and the (co-)leader of the Center for Data Science, CEDAS, at the University of Bergen (UiB), Norway. Before joining UiB in 2007 to build up a new research group on visualization (vis.UiB.no), Helwig Hauser was the Scientific Director of the VRVis Research Center in Vienna, Austria, where he earlier led the basic research group on visualization (since 2000). Helwig Hauser got his education (in Computer Science, with specialization on visualization) from the Vienna University of Technology in Austria (TU Wien), where he also completed his PhD in 1998 and his Habilitation in 2003 (later awarded by the Heinz Zemanek Award). Since 2019, Helwig Hauser is the (co-)leader of UiB’s Center for Data Science, CEDAS (UiB.no/cedas), with focus on interdiscipli-nary research in data science, as well as data science education and applications. His interests are broad within visualization, visual data science, and related fields, and he’s an active member of the international visualization community, having served / serving, for ex., as the Editor in Chief for jour-nal Computer Graphics Forum, as Overall Paper Chair for the IEEE VIS conference, as well as on a variety of Steering Committees.
