Seamlessly Supporting Multi-Context Data Visualization with Dr. Hyeok Kim
**This talk is both an in-person and an online event. The in-person location is room SRYC 5380. To attend online, please register for the online option to receive the Zoom link. Those who register for the online event will be emailed the Zoom link on November 19th prior to the event start.
Date: November 19, 2014
Time: 1:30-2:30PM
In-person location/online event: SRYC 5380 and Zoom
Abstract:
Visualization plays an important role in communicating data. To accommodate a broader audience with visualizations, authors need to simultaneously support multiple user contexts like devices they use, their vision, and data literacy. This multi-context support requires visualization authors to learn, apply, and reason about design techniques beyond their familiarity, increasing time and effort put in design iterations. While visualization research has provided applications for specific user contexts, software support for simultaneous visualization design for multiple contexts remains as a major challenge. To reduce this gap in technology, my research has contributed toolkits and user applications that support simultaneous authoring of visualizations for multiple user context. In this talk, I first present a mixed-initiative approach to authoring data visualization for different device types (responsive visualization). Aligning automation and customization features with user tasks, this approach helps visualization authors to redirect their attention from technicality to design reasoning. Next, I introduce Erie, a declarative grammar for data sonification that describes data using sound for accessibility and immersive experience. By modularizing design and execution, Erie can help creators to focus on the relationship between data and sound. With my research on responsive visualization and data sonification, I further envision future generation of visualization tools and systems.
Bio:
Dr. Hyeok Kim is a postdoctoral scholar at the Paul G. Allen School of Computer Science & Engineering, University of Washington. His research aims at bringing complicated computing technologies to creators, developers, and designers with varying levels of expertise. His work has introduced novel techniques for designing data visualizations on multiple device types, creating data sonification, and programming for quantum computing. His work has been published at top visualization and HCI venues, including ACM CHI, CSCW, IEEE VIS, QCE, and EuroVis. Hyeok holds his Ph.D. in Computer Science from Northwestern University, an M.A. in Communication and a B.A. in Linguistics from Seoul National University.
