This workshop series aims at bringing together European and Chinese researchers in the field of visualization and is co-organized by Prof. Oliver Deussen (University of Konstanz, Germany), Prof. Yunhai Wang (Shandong University, China), and Dr. Tobias Isenberg (Inria, France). The event is a continuation of a series of Sino-German workshops on visualization in 2017 and 2018, which have initiated many collaborations.
In a sequence of short virtual meetings (2h each) with four presentations and a panel discussion, we want to invite leading experts and discuss current topics and open questions. We plan to have these meetings every three months, typically in the morning time for Europe (and afternoon for China).
Our first workshop focuses on the topic of Interaction for Visualization on Feb. 24th 8:30am -10:35am, CET and 3:30pm -5:35pm, Beijing Time.
Time: February 24, 8:30 AM - 10:35 AM, CET and 3:30 PM - 5:35 PM, Beijing Time
Organizers: Yunhai Wang,
|8:30 am - 8:35 am||
|8:35 am - 9:00 am||Petra Isenberg||When Visualization Meets HCI|
|9:00 am - 9:25 am||
||Fluid Interaction for Visual Data Analysis|
|9:25 am - 9:50 am||Michael Sedlmair||
Move your body
|9:50 am - 10:15 am||Xiaoru Yuan||Interact Visualizations with Text|
|10:15 am - 10:35 am||All speakers||Panel Discussion|
Title: When Visualization Meets HCI
Abastract: Visualization fundamentally studies how people work with, react to, understand, or interact with (mostly) digital representations of data. With its focus on people, Visualization challenges have always related to those discussed in HCI. Recently, however, many fruitful avenues for cross-disciplinary work have emerged more clearly: interactions with data through touch, pen, speech, olfaction, on very large or very small displays, using physicalization, proxemics, or tangibles, among others. In my talk I will examine this close connection of research interests that overlap both the HCI and Visualization community. I will focus on opportunities for visualization-related applications in HCI for non-desktop devices, immersive analytics, embedded and situated visualization, and will point to opportunities for joint work on design and evaluation methodologies.
Biography: Petra Isenberg (firstname.lastname@example.org) is a research scientist (CR) at Inria, Saclay, France in the Aviz team and part of the Computer Science Laboratory (LISN) of the University Paris-Saclay. Prior to joining Inria, she received her PhD from the University of Calgary in 2010 on collaborative information visualization. Petra also holds a Diplom-engineer degree in Computational Visualistics from the University of Magdeburg. Her main research areas are visualization and visual analytics with a focus on visualization for non-desktop devices, interaction, and evaluation. She is particularly interested in exploring how people can most effectively work together when analyzing large and complex data sets on novel display technology such as small touch-screens, wall displays, or tabletops. Petra is associate editor-in-chief at IEEE CG&A, associate editor of the IEEE Transactions on Visualization and Computer Graphics, and the vice-chair of the IEEE VIS Steering Committee.
Tiare Feuchtner & Harald ReitererUniversity of Konstanz
Title: Fluid Interaction for Visual Data Analysis
Abastract: Interaction is the catalyst for the user's dialogue with visualized data and, ultimately, for attaining insights and understanding. This talk addresses how we can improve the interaction quality of immersive visual data analysis tools, by addressing central challenges of 3D interaction. In our design approach we follow the Fluid Interaction paradigm, which is inspired by the theory of Reality-based Interaction and guided by our Blended Interaction Framework. We evaluated different design solutions for crucial tasks in visual data analysis, like filtering large amounts of data or analyzing multi-dimensional data, to clarify the benefits and shortcomings of our Fluid Interaction.
We further discuss the role our User Representations play in the context of Fluid Interaction and highlight key characteristics that can be leveraged to improve interaction with and understanding of virtual content.
The presented work contributes to closing the gap between visualization and interaction research by pointing out new ways to facilitate the operation of tools and design of UIs for visual data analysis.
Tiare Feuchtner is Assistant Professor at the Human-Computer Interaction group of the University of Konstanz. As a computer scientist, her main research interests are embodied user interfaces and novel interaction techniques for immersive technologies.
Harald Reiterer is full professor at the at the Human-Computer Interaction group of the University of Konstanz. As a computer scientist, his research interests are Interaction Design, Usability Engineering, and Information Visualization. Email: email@example.com
Michael SedlmairUniversity of Stuttgart
Title: Move your body - motion-based interaction with visualization
Abastract: Historically, the main interaction paradigm in data visualization has undoubtedly been mouse and keyboard (and more recently also a bit of touch displays). With the advent of immersive analytics, however, visualization is now increasingly conquering new territories in virtual and augmented reality environments. While these environments do allow us to port visualizations into a "natural" 3D space, I argue that their main value lies in the new possibilities for interacting with visualizations through "natural" human motions. To kickstart the discussion, I will give a few examples from our work in this area. Move your body!
Biography: Michael Sedlmair is a Professor in Augmented Reality and Virtual Reality at the Visualization Research Center, University of Stuttgart. He is leading a research group for visualization and virtual/augmented reality at the VISUS research center at the University of Stuttgart. His research focus is data visualization, human-computer interaction, virtual and augmented reality, and machine learning.
Xiaoru YuanPeking University
Title: Interact Visualizations with Text
Abastract: Taking the advances in machine learning and natural language progress, it is possible to extend the tranditional mouse-click interaction in visualization to a much more broad way, using text. In this talk, we will share our recent research results on text-based visualization interaction, including automatic visualization answer for natural-language question and automatic visualization annotation synchronizing with textual description.
Biography: Xiaoru Yuan is a tenured faculty member in the School of Electronics Engineering and Computer Science. He currently also serves as the deputy vice director of National Engineering Laboratory on Big Data Analysis and Applications and vice director of Key Laboratory of Machine Perception (MOE), at Peking University. He leads the visualization and visual analytics lab and serves as the vice direction of Key Laboratory of Machine Perception at Peking University. He received the Ph.D. degree in computer science in 2006, from the University of Minnesota at Twin Cities. His primary research interests are in the field of visualization and visual analytics. His co-authored work on high dynamic range volume visualization received Best Application Paper Award at the IEEE Visualization 2005 conference. He and his student team won awards over multiple times in IEEE VAST Challenges. He received Okawa Research Fund Award in 2018. He served on the program and conference committees of IEEE VIS, ACM CHI, EuroVis, and IEEE PacificVis. He was organization co-chair of IEEE PacificVis 2009, poster chair of IEEE VIS 2015/2016, paper chair of IEEE VIS 2017 and PacificVis 2015, and 2021 VIS area paper chair. He is on the editor board of IEEE TVCG, Journal of Visualization and several other international journals. He initiated and co-founded ChinaVis conference in 2014. He is the director of visualization and visual analytics technical committee at China Society of Image and Graphics.