Metrics for measuring human interaction with interactive visualizations for information analysis
T. O'Connell, and Y. Choong. CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, page 1493--1496. New York, NY, USA, ACM, (2008)
DOI: 10.1145/1357054.1357287
Abstract
There is a lack of widely-accepted metrics for evaluating analysts' experiences with interactive visualizations (IV) for information analysis. We report an approach for developing analyst-centered IV metrics that is built upon understanding the workplace needs and experiences of information analysts with respect to IVs. We derive metrics from human-computer interaction heuristics, specializing the metrics to address the characteristics of IVs and analysts. When there are no existing heuristics, analysts' needs and experiences inform new heuristics.
%0 Conference Paper
%1 citeulike:2688323
%A O'Connell, Theresa A.
%A Choong, Yee-Yin
%B CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems
%C New York, NY, USA
%D 2008
%I ACM
%K en evaluation information-analysis information-visualization
%P 1493--1496
%R 10.1145/1357054.1357287
%T Metrics for measuring human interaction with interactive visualizations for information analysis
%U http://dx.doi.org/10.1145/1357054.1357287
%X There is a lack of widely-accepted metrics for evaluating analysts' experiences with interactive visualizations (IV) for information analysis. We report an approach for developing analyst-centered IV metrics that is built upon understanding the workplace needs and experiences of information analysts with respect to IVs. We derive metrics from human-computer interaction heuristics, specializing the metrics to address the characteristics of IVs and analysts. When there are no existing heuristics, analysts' needs and experiences inform new heuristics.
%@ 9781605580111
@inproceedings{citeulike:2688323,
abstract = {{There is a lack of widely-accepted metrics for evaluating analysts' experiences with interactive visualizations (IV) for information analysis. We report an approach for developing analyst-centered IV metrics that is built upon understanding the workplace needs and experiences of information analysts with respect to IVs. We derive metrics from human-computer interaction heuristics, specializing the metrics to address the characteristics of IVs and analysts. When there are no existing heuristics, analysts' needs and experiences inform new heuristics.}},
added-at = {2018-03-19T12:24:51.000+0100},
address = {New York, NY, USA},
author = {O'Connell, Theresa A. and Choong, Yee-Yin},
biburl = {https://www.bibsonomy.org/bibtex/2ad3d12a4f31fa5fa417b41fbfcfc6503/aho},
booktitle = {CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems},
citeulike-article-id = {2688323},
citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1357054.1357287},
citeulike-linkout-1 = {http://dx.doi.org/10.1145/1357054.1357287},
doi = {10.1145/1357054.1357287},
interhash = {485bc60e14ca81cdac503a588a17d28a},
intrahash = {ad3d12a4f31fa5fa417b41fbfcfc6503},
isbn = {9781605580111},
keywords = {en evaluation information-analysis information-visualization},
pages = {1493--1496},
posted-at = {2008-06-26 19:06:34},
priority = {3},
publisher = {ACM},
timestamp = {2018-03-19T12:24:51.000+0100},
title = {{Metrics for measuring human interaction with interactive visualizations for information analysis}},
url = {http://dx.doi.org/10.1145/1357054.1357287},
year = 2008
}