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View Relations: An Exploratory Study on Between-View Meta-Visualizations

Authors:

Søren Knudsen,

Sheelagh CarpendaleAuthors Info & Claims

NordiCHI '16: Proceedings of the 9th Nordic Conference on Human-Computer Interaction

Article No.: 15, Pages 1 - 10

https://doi.org/10.1145/2971485.2971566

Published: 23 October 2016 Publication History

Abstract

In this paper, we explore the potential of using visual representations to support people in managing, organizing, and understanding relations between multiple visualization views. Multiple views can help people understand different facets of data and data processing, and are a crucial part of data analysis particularly when it is done collaboratively. Both the growing use of multiple views and the increasing display sizes have amplified the need to explore how to better help people to understand the relations between many views. To improve our understanding of how to visualize view relations, we invited visualization and interaction designers to critique and sketch representations of view relations. The participants provided design critiques, and sketched their own relation representations. Our findings expand the range and palette of ways of visually linking visualization views and suggest new directions for designing view relation representations to better support analysis with multiple views.

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Cited By

Belkacem ITominski CMédoc NKnudsen SDachselt RGhoniem M(2024)Interactive Visualization on Large High‐Resolution Displays: A SurveyComputer Graphics Forum10.1111/cgf.1500143:6Online publication date: 30-Apr-2024
https://doi.org/10.1111/cgf.15001
Wu ATong WLi HMoritz DWang YQu H(2022)ComputableViz: Mathematical Operators as a Formalism for Visualisation Processing and AnalysisProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517618(1-15)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517618
Sun MNamburi AKoop DZhao JLi TChung H(2022)Towards Systematic Design Considerations for Visualizing Cross-View Data RelationshipsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.310296628:12(4741-4756)Online publication date: 1-Dec-2022
https://doi.org/10.1109/TVCG.2021.3102966
Show More Cited By

Index Terms

View Relations: An Exploratory Study on Between-View Meta-Visualizations
1. Human-centered computing

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cover image ACM Other conferences

NordiCHI '16: Proceedings of the 9th Nordic Conference on Human-Computer Interaction

October 2016

1045 pages

ISBN:9781450347631

DOI:10.1145/2971485

General Chairs:
Staffan Björk
University of Gothenburg
,
Eva Eriksson
Chalmers University of Technology
,
Program Chairs:
Morten Fjeld
Chalmers University of Technology
,
Susanne Bødker
University of Aarhus
,
Publications Chairs:
Wolmet Barendregt
University of Gothenburg
,
Mohammad Obaid
Chalmers University of Technology

Copyright © 2016 ACM.

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Chalmers University of Technology
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: 23 October 2016

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NordiCHI '16

NordiCHI '16: 9th Nordic Conference on Human-Computer Interaction

October 23 - 27, 2016

Gothenburg, Sweden

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NordiCHI '16 Paper Acceptance Rate 58 of 231 submissions, 25%;

Overall Acceptance Rate 379 of 1,572 submissions, 24%

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Cited By

Belkacem ITominski CMédoc NKnudsen SDachselt RGhoniem M(2024)Interactive Visualization on Large High‐Resolution Displays: A SurveyComputer Graphics Forum10.1111/cgf.1500143:6Online publication date: 30-Apr-2024
https://doi.org/10.1111/cgf.15001
Wu ATong WLi HMoritz DWang YQu H(2022)ComputableViz: Mathematical Operators as a Formalism for Visualisation Processing and AnalysisProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517618(1-15)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517618
Sun MNamburi AKoop DZhao JLi TChung H(2022)Towards Systematic Design Considerations for Visualizing Cross-View Data RelationshipsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.310296628:12(4741-4756)Online publication date: 1-Dec-2022
https://doi.org/10.1109/TVCG.2021.3102966
Aurisano JKumar AAlsaiari AEugenio BJohnson A(2020)Many At Once: Capturing Intentions to Create And Use Many Views At Once In Large Display EnvironmentsComputer Graphics Forum10.1111/cgf.1397639:3(229-240)Online publication date: 18-Jul-2020
https://doi.org/10.1111/cgf.13976
Morrow BManz TChung AGehlenborg NGotz D(2019)Periphery Plots for Contextualizing Heterogeneous Time-Based Charts2019 IEEE Visualization Conference (VIS)10.1109/VISUAL.2019.8933582(1-5)Online publication date: Oct-2019
https://doi.org/10.1109/VISUAL.2019.8933582
Knudsen SHornbak K(2019)PADE: Supporting Collaborative Visual Analysis of Patient Administrative Systems Data with a Large Touch Display System2019 IEEE Workshop on Visual Analytics in Healthcare (VAHC)10.1109/VAHC47919.2019.8945039(9-16)Online publication date: Oct-2019
https://doi.org/10.1109/VAHC47919.2019.8945039
Koytek PPerin CVermeulen JAndre ECarpendale S(2018)MyBrush: Brushing and Linking with Personal AgencyIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2017.274385924:1(605-615)Online publication date: Jan-2018
https://doi.org/10.1109/TVCG.2017.2743859
Carpendale SKnudsen SThudt AHinrichs USubramanian SSteimle JDachselt RMartinez Plasencia DGrossman T(2017)Analyzing Qualitative DataProceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces10.1145/3132272.3135087(477-481)Online publication date: 17-Oct-2017
https://dl.acm.org/doi/10.1145/3132272.3135087

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