Visualization for People + Systems
, University of Washington
Date: Friday, April 26, 2019
Time: 2:00 PM to 3:00 PM
Event Type: Seminar
Room Description: Seminar Room
Host: Arvind Satyanarayan
Contact: Amy Shea-Slattery, 617-253-6002, email@example.com
Relevant URL: hci.mit.edu/hci-seminar.html
Speaker URL: https://www.domoritz.de
firstname.lastname@example.org, HCI-Seminar@lists.csail.edu, email@example.com
TALK: Dominik Moritz, Friday, April 26, 2019, 2-3PM, 32-G882: Visualization for People + Systems
Making sense of large and complex data requires methods that integrate human judgment and domain expertise with modern data processing systems. To meet this challenge, my work combines methods from visualization, data management, human-computer interaction, and programming languages to enable more effective and more scalable methods for interactive data analysis and communication.
More specifically, my research investigates automatic reasoning over domain-specific representations of visualization and analysis workflows, in order to produce both improved human-centered designs and system performance optimizations. My work on Vega-Lite provides a high-level declarative language for rapidly creating interactive visualizations. Vega-Lite can serve as a convenient representation for tools that generate visualizations. To create effective designs, these tools must also consider perceptual principles of design. My work on Draco provides a formal model of visual encodings, a knowledge base to reason about visualization design decisions, and methods to learn design rules from experiments. Draco can formally reason over the visualization design space to recommend appropriate designs but its applications go far beyond. Draco makes theoretical design knowledge a shared resource that can be extended, tested, and systematically discussed in the research community. The Falcon and Pangloss systems enable scalable interaction and exploration of large data volumes by making principled trade-offs among people’s latency tolerance, precomputation, and approximation of computations.
A recurring strategy across these projects is to leverage an understanding of people’s tasks and capabilities to inform system design and optimization.
Created by Amy Shea-Slattery at Thursday, April 18, 2019 at 11:39 AM.