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.
%0 Conference Paper
%1 citeulike:12358944
%A Dörk, Marian
%A Lam, Heidi
%A Benjelloun, Omar
%B CHI '13 Extended Abstracts on Human Factors in Computing Systems
%C New York, NY, USA
%D 2013
%I ACM
%K information-visualization social-navigation
%P 1755--1760
%R 10.1145/2468356.2468671
%T Accentuating visualization parameters to guide exploration
%U http://dx.doi.org/10.1145/2468356.2468671
%X 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.
%@ 978-1-4503-1952-2
@inproceedings{citeulike:12358944,
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.}},
added-at = {2017-11-15T17:02:25.000+0100},
address = {New York, NY, USA},
author = {D\"{o}rk, Marian and Lam, Heidi and Benjelloun, Omar},
biburl = {https://www.bibsonomy.org/bibtex/293e841b4d6931216b73dbf0250ea5602/brusilovsky},
booktitle = {CHI '13 Extended Abstracts on Human Factors in Computing Systems},
citeulike-article-id = {12358944},
citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=2468671},
citeulike-linkout-1 = {http://dx.doi.org/10.1145/2468356.2468671},
doi = {10.1145/2468356.2468671},
interhash = {b39f8f8047005ca369662b350ef7fa88},
intrahash = {93e841b4d6931216b73dbf0250ea5602},
isbn = {978-1-4503-1952-2},
keywords = {information-visualization social-navigation},
location = {Paris, France},
pages = {1755--1760},
posted-at = {2013-05-22 19:45:38},
priority = {4},
publisher = {ACM},
series = {CHI EA '13},
timestamp = {2020-07-28T17:22:13.000+0200},
title = {{Accentuating visualization parameters to guide exploration}},
url = {http://dx.doi.org/10.1145/2468356.2468671},
year = 2013
}