Hua Guo


huag (at) cs (dot) brown (dot) edu
553 CIT

Box 1910, Computer Science Department
Brown University
Providence, RI 02912


About Me

In 2015 - 2016, I am a fifth year PhD student in Computer Science Department in Brown University. I work in the Visualization Research Lab, and my advisor is Professor David Laidlaw.

Before starting my study at Brown, I received my B.S. degree in Computer Science and Mathematics from Hong Kong University of Science and Technology.

Research

My research centers on human-centered design and evaluation of visual analytics tools to support scientific reasoning. No matter what computational methods we apply to extract, transform, and summarize information, information needs to be processed by human users at the end to be converted into knowledge and decisions, and visual analytics applications need to help human process information more effectively. Therefore, my research aims to inform the design of visual analysis tools by studying how users perceive, interact with, and ultimately make sense of the visualized data. I have been collaborating with experts outside Computer Science, primarily brain scientists, to distill visualization research problems from their needs while developing tools that can help them in their work.

Publications

Papers

A Case Study Using Visualization Interaction Logs and Insight Metrics to Understand How Analysts Arrive at Insights
IEEE VAST, 2015
Hua Guo, Steven R. Gomez, Caroline Ziemkiewicz, and David H. Laidlaw

Representing Uncertainty in Graph Edges: An Evaluation of Paired Visual Variables
IEEE Transactions on Visualization and Computer Graphics, 2015
Hua Guo, Jeff Huang, and David H. Laidlaw

Crowdsourcing from Scratch: A Pragmatic Experiment in Data Collection by Novice Requesters
HCOMP, 2015
Alexandra Papoutsaki, Hua Guo, Danae Metaxa, Jeff Rasley, Jeff Huang

An Insight- and Task-based Methodology for Evaluating Spatiotemporal Visual Analytics
IEEE VAST, 2014
Steven R. Gomez, Hua Guo, Caroline Ziemkiewicz, and David H. Laidlaw

Different Strokes for Different Folks: Visual Presentation Design Between Disciplines
IEEE InfoVis, 2012
Steven R. Gomez, Radu Jianu, Caroline Ziemkiewicz, Hua Guo, and David H. Laidlaw

Extended Abstracts and Posters

Visualization to Facilitate Structured Exploration of Published Findings in Rat Brain Connectivity
IEEE InfoVis (Poster session), 2013
Hua Guo, Steven R. Gomez, Mark J. Schnitzer, David H. Laidlaw

Toward a visual interface for brain connectivity analysis
ACM CHI (Poster session), 2013
Hua Guo, Arthur Yidi, Steven R. Gomez, Mark J. Schnitzer, David Badre, David H. Laidlaw

Incorporating GOMS analysis into the design of an EEG data visual analysis tool
IEEE InfoVis (Poster session), 2012
Hua Guo, Diem Tran, and David H. Laidlaw