U.S. Department of Energy

Pacific Northwest National Laboratory

Human Factors in Streaming Data Exploration: Challenges and Opportunities for Information Visualization

Publish Date: 
Friday, September 22, 2017
Real-world systems change continuously and across domains like traffic monitoring, cyber security, etc., such changes occur within short time scales. This leads to a streaming data problem and produces unique challenges for the human in the loop, as analysts have to ingest and make sense of dynamic patterns in real time. In this paper, our goal is to study how the state of the art in streaming data visualization handles these challenges and reflect on the gaps and opportunities. To this end, we have three contributions in this state-of-the-art report: i) problem characterization for identifying domain-specific goals and challenges for handling streaming data, ii) a survey and analysis of the state-of-the-art in streaming data visualization research with a focus on the visualization design space, and iii) reflections on the perceptually motivated design challenges and potential research directions for addressing them.
| Pacific Northwest National Laboratory