abstract

SightLine: Building on the Web's Visualization Ecosystem

Authors:

Jordan Sechler,

Evan M. PeckAuthors Info & Claims

CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems

Pages 2049 - 2055

https://doi.org/10.1145/3027063.3053142

Published: 06 May 2017 Publication History

Abstract

The advancement of tools for web designers and developers have transformed the internet into a vibrant ecosystem for data visualization and analysis. However, even when there are hundreds of visualizations exploring the same topic, they are often viewed in isolation with no mechanism to navigate between them. We built SightLine - a web portal that passively collects and organizes visualizations - to explore the design space of the web's scattered visualization ecosystem. By preserving the context of each visualization visit, we enable personal provenance through a "visualization history, discovery and exploration through trending visualizations, and targeted search by querying SightLine's extensive metadata collected for each visualization.

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Cited By

Gathani SCrisan ASetlur VSrinivasan A(2024)Groot: A System for Editing and Configuring Automated Data Insights2024 IEEE Visualization and Visual Analytics (VIS)10.1109/VIS55277.2024.00015(36-40)Online publication date: 13-Oct-2024
https://doi.org/10.1109/VIS55277.2024.00015
Ye YHuang RZeng W(2024)VISAtlas: An Image-Based Exploration and Query System for Large Visualization Collections via Neural Image EmbeddingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.322902330:7(3224-3240)Online publication date: Jul-2024
https://doi.org/10.1109/TVCG.2022.3229023
Setlur VKanyuka ASrinivasan A(2023)Olio: A Semantic Search Interface for Data RepositoriesProceedings of the 36th Annual ACM Symposium on User Interface Software and Technology10.1145/3586183.3606806(1-16)Online publication date: 29-Oct-2023
https://dl.acm.org/doi/10.1145/3586183.3606806
Show More Cited By

Index Terms

SightLine: Building on the Web's Visualization Ecosystem
1. Human-centered computing
  1. Collaborative and social computing

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Information & Contributors

Information

Published In

cover image ACM Conferences

CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems

May 2017

3954 pages

ISBN:9781450346566

DOI:10.1145/3027063

General Chairs:
Gloria Mark
University of California Irvine
,
Susan Fussell
Cornell University
,
Program Chairs:
Cliff Lampe
University of Michigan
,
m.c. schraefel
University of Southampton
,
Juan Pablo Hourcade
University of Iowa
,
Caroline Appert
Université Paris-Sud
,
Daniel Wigdor
University of Toronto

Copyright © 2017 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 May 2017

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Conference

CHI '17

Sponsor:

SIGCHI

CHI '17: CHI Conference on Human Factors in Computing Systems

May 6 - 11, 2017

Colorado, Denver, USA

Acceptance Rates

CHI EA '17 Paper Acceptance Rate 1,000 of 5,000 submissions, 20%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI 2025

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sigchi

ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Citations

Cited By

Gathani SCrisan ASetlur VSrinivasan A(2024)Groot: A System for Editing and Configuring Automated Data Insights2024 IEEE Visualization and Visual Analytics (VIS)10.1109/VIS55277.2024.00015(36-40)Online publication date: 13-Oct-2024
https://doi.org/10.1109/VIS55277.2024.00015
Ye YHuang RZeng W(2024)VISAtlas: An Image-Based Exploration and Query System for Large Visualization Collections via Neural Image EmbeddingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.322902330:7(3224-3240)Online publication date: Jul-2024
https://doi.org/10.1109/TVCG.2022.3229023
Setlur VKanyuka ASrinivasan A(2023)Olio: A Semantic Search Interface for Data RepositoriesProceedings of the 36th Annual ACM Symposium on User Interface Software and Technology10.1145/3586183.3606806(1-16)Online publication date: 29-Oct-2023
https://dl.acm.org/doi/10.1145/3586183.3606806
Hoque EAgrawala M(2019)Searching the Visual Style and Structure of D3 VisualizationsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2019.2934431(1-1)Online publication date: 2019
https://doi.org/10.1109/TVCG.2019.2934431

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