Speaker: Dr. Chris North
Title
Immersive Analytics: The Role of Immersive Spaces in Data Analytics
Abstract
In this presentation, we examine the important role of immersive interactive display spaces in supporting data analysis and sensemaking activity. Why is the large physical space offered by immersive displays, both 2D and 3D, important to human sensemaking? How are large spaces fundamentally different from traditional displays when used for sensemaking? How do they help with analytical processes? What is the relationship between display space and computational AI and analytics? How should we design large interactive spaces to maximize human+AI sensemaking performance? We examine how physical space plays fundamental roles at several levels in sensemaking: embodied visualization, embodied interaction, embodied cognition, embodied computing with AI/ML algorithms, and embodied collaboration. Our synthesis of these roles will help illuminate a path forward for future research in immersive analytics and advancing human sensemaking capability in a data-intensive world.
Short Bio
Dr. Chris North (http://infovis.cs.vt.edu) is a Professor of Computer Science at Virginia Tech in Blacksburg, VA, USA. He is Associate Director of the Sanghani Center for AI and Data Analytics, core member of the Center for Human-Computer Interaction, leads the Visual Analytics research group, and was principle architect of the GigaPixel Display Laboratory. He graduated 20 PhD students, was awarded over $17M in grants, and co-authored over 140 peer-reviewed publications (http://scholar.google.com/citations?user=yBZ7vtkAAAAJ) with h-index=59. As a leader in data science education at Virginia Tech, he founded the Graduate Certificate in Data Analytics and co-organized the Computation Modeling and Data Analytics undergraduate major. He has also served the community as General Co-Chair of IEEE VIS, and as Papers Co-Chair of the IEEE Information Visualization (InfoVis) and IEEE Visual Analytics Science and Technology (VAST) Conferences. His research and education agenda seeks to enable effective human-AI interaction in immersive analytics environments. For over two decades, he has led efforts to design and evaluate usability of large and immersive display spaces for interactive visualization and text analytics in data science.
