The Effects of Interactive Latency on Exploratory Visual Analysis
By Zhicheng Liu, Jeffrey Heer. IEEE Transactions on Visualization and Computer Graphics, 2014
386 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Science Applications, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/45832e819d092865c3dc3cb75b17d6970f8af24d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Boudewijn P. F. Lelieveldt
- Anna Vilanova
- Elmar Eisemann
- Nicola Pezzotti
- Thomas Höllt
- Michael J. Kane
- Peter Bhlmann
- Petros Drineas
In Computer Science Applications
- Ben Shneiderman
- Catherine Plaisant
- Eugene Wu
- Siddhartha Chaudhuri
- Vladlen Koltun
- Simon Colton
- Geraint A. Wiggins
In Computer Vision and Pattern Recognition
- Boudewijn P. F. Lelieveldt
- Elmar Eisemann
- Anna Vilanova
- Nicola Pezzotti
- Thomas Höllt
- Ben Shneiderman
- Catherine Plaisant
- Neil T. Spring
Citations in the corpus
- Handbook of Big Data (2016, background): “We know from perceptual experiments that latencies of even a half-second can cause users to explore a dataset less thoroughly [16].”
- EventAction (2019, background): “In this section, we describe these two components and report on an experiment evaluating the data pipeline’s performance on large testing datasets.”
- Combining Design and Performance in a Data Visualization Management System (2017, background): “Consider that a single study [32], which found that an additional delay of 500 ms negatively impacts visual exploration, has served as a guiding post for many visualization optimization research, mentioned previously.”
- Approximated and User Steerable tSNE for Progressive Visual Analytics (2015, background): “Liu and Heer [47] demonstrate that, when dealing with real-time data, the response time of the algorithm is of great importance to the user.”