GAMES Webinar 2019 – 118期 (可视化前沿技术专题报告)| ,Dominik Moritz(Apple & Carnegie Mellon University)

【GAMES Webinar 2019-118期】(可视化前沿技术专题报告)

主持人：汪云海(山东大学)（个人主页:http://www.yunhaiwang.org/)

报告嘉宾：Dominik Moritz，Apple & Carnegie Mellon University

报告时间：2019年11月14日 晚上8:00-9:30（北京时间）

报告题目：

Visualization for People + Systems

报告摘要：

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.

讲者简介：

Dominik is a researcher at Apple working on data visualization and interactive systems for artificial intelligence. In 2020, he will start as an assistant professor at Carnegie Mellon University. He received his PhD from the Paul G. Allen School at the University of Washington where he worked with Jeffrey Heer and Bill Howe. His thesis work was on scalable interactive systems for visualization and analysis. Dominik is a co-author of various libraries and tools in the Vega stack, including Vega-Lite, Voyager, and Polestar. His systems have won awards at premier academic venues and are used by the Python and JavaScript data science communities.

讲者个人主页：https://www.domoritz.de

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