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Accentuating visualization parameters to guide exploration

Authors:

Marian Dörk,

Heidi Lam,

Omar BenjellounAuthors Info & Claims

CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems

Pages 1755 - 1760

https://doi.org/10.1145/2468356.2468671

Published: 27 April 2013 Publication History

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Abstract

We present a new method for displaying visualization parameters to guide casual data exploration. When visualizing datasets with large parameter spaces it can be difficult to move between data views. Building on social navigation and degree-of-interest visualization, we propose the concept of accentuation as the selection and emphasis of visualization parameters based on social and semantic signals. We describe how we designed an accentuated visualization interface, and discuss open challenges and directions for future research.

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Cited By

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Pérez‐Messina ICeneda DEl‐Assady MMiksch SSperrle F(2022)A Typology of Guidance Tasks in Mixed‐Initiative Visual Analytics EnvironmentsComputer Graphics Forum10.1111/cgf.1455541:3(465-476)Online publication date: 29-Jul-2022
https://doi.org/10.1111/cgf.14555
Ceneda DGschwandtner TMiksch S(2019)A Review of Guidance Approaches in Visual Data Analysis: A Multifocal PerspectiveComputer Graphics Forum10.1111/cgf.1373038:3(861-879)Online publication date: 10-Jul-2019
https://doi.org/10.1111/cgf.13730
(2017)Trends and challenges of visual search interfaces in digital libraries and repositoriesThe Electronic Library10.1108/EL-03-2015-004635:1(69-98)Online publication date: 6-Feb-2017
https://dl.acm.org/doi/10.1108/EL-03-2015-0046
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Index Terms

Accentuating visualization parameters to guide exploration
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems

April 2013

3360 pages

ISBN:9781450319522

DOI:10.1145/2468356

General Chair:
Wendy E. Mackay
INRIA
,
Program Chairs:
Stephen Brewster
Glasgow University
,
Susanne Bødker
University of Aarhus

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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Association for Computing Machinery

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Published: 27 April 2013

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CHI '13: CHI Conference on Human Factors in Computing Systems

April 27 - May 2, 2013

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CHI EA '13 Paper Acceptance Rate 630 of 1,963 submissions, 32%;

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

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Pérez‐Messina ICeneda DEl‐Assady MMiksch SSperrle F(2022)A Typology of Guidance Tasks in Mixed‐Initiative Visual Analytics EnvironmentsComputer Graphics Forum10.1111/cgf.1455541:3(465-476)Online publication date: 29-Jul-2022
https://doi.org/10.1111/cgf.14555
Ceneda DGschwandtner TMiksch S(2019)A Review of Guidance Approaches in Visual Data Analysis: A Multifocal PerspectiveComputer Graphics Forum10.1111/cgf.1373038:3(861-879)Online publication date: 10-Jul-2019
https://doi.org/10.1111/cgf.13730
(2017)Trends and challenges of visual search interfaces in digital libraries and repositoriesThe Electronic Library10.1108/EL-03-2015-004635:1(69-98)Online publication date: 6-Feb-2017
https://dl.acm.org/doi/10.1108/EL-03-2015-0046
Jiang LNandi A(2015)SnapToQueryProceedings of the VLDB Endowment10.14778/2809974.28099868:11(1250-1261)Online publication date: 1-Jul-2015
https://dl.acm.org/doi/10.14778/2809974.2809986
Harms JWimmer CKappel KGrechenig TPaternò FSantoro CZiegler J(2014)Design space for focus+context navigation in web formsProceedings of the 2014 ACM SIGCHI symposium on Engineering interactive computing systems10.1145/2607023.2610272(39-44)Online publication date: 17-Jun-2014
https://dl.acm.org/doi/10.1145/2607023.2610272

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Interactive exploration of geospatial network visualization

Extreme visualization: squeezing a billion records into a million pixels

Polyarchy visualization: visualizing multiple intersecting hierarchies

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