Toward an Interaction-Driven Framework for Modeling Big Data Visualization Systems
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Designing big data visualization applications is challenging due to their complex yet isolated development. One of the most common issues is an increase in latency that can be experienced while interacting with the system. There exists a variety of optimization techniques to handle this issue in specific scenarios, but we lack models for integrating them in a holistic way, hindering the integration of complementary functionality and hampering consistent evaluation across systems. In response, we present a framework for modeling the big data visualization pipeline which builds a bridge between the Visualization, Human-Computer Interaction, and Database communities by integrating their individual contributions within a single, easily interpretable pipeline. With this framework, visualization applications can become aware of the full end-to-end context, making it easier to determine which subset of optimizations best suits the current context.
Description
CCS Concepts: Information systems --> Information systems applications; Human-centered computing --> Human computer interaction (HCI)
@inproceedings{10.2312:evp.20221125,
booktitle = {EuroVis 2022 - Posters},
editor = {Krone, Michael and Lenti, Simone and Schmidt, Johanna},
title = {{Toward an Interaction-Driven Framework for Modeling Big Data Visualization Systems}},
author = {Benvenuti, Dario and Fiordeponti, Giovanni and Cheng, Hao and Catarci, Tiziana and Fekete, Jean-Daniel and Santucci, Giuseppe and Angelini, Marco and Battle, Leilani},
year = {2022},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-185-4},
DOI = {10.2312/evp.20221125}
}