We characterize five task sequences related to visualizing dimensionally-reduced data, drawing from data collected from interviews with ten data analysts spanning six application domains, and from our understanding of the technique literature. Our characterization of visualization task sequences for dimensionally-reduced data fills a gap created by the abundance of proposed techniques and tools that combine high-dimensional data analysis, dimensionality reduction, and visualization, and is intended to be used in the design and evaluation of future techniques and tools. We discuss implications for the evaluation of existing work practices, for the design of controlled experiments, and for the analysis of post-deployment field observations.
%0 Conference Paper
%1 conf/beliv/BrehmerSIM14
%A Brehmer, Matthew
%A Sedlmair, Michael
%A Ingram, Stephen
%A Munzner, Tamara
%B Proceedings of the Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV)
%D 2014
%E Lam, Heidi
%E Isenberg, Petra
%E Isenberg, Tobias
%E Sedlmair, Michael
%I ACM
%K 2014 A08 sfbtrr161 visus:sedlmaml
%P 1-8
%R 10.1145/2669557.2669559
%T Visualizing Dimensionally-Reduced Data: Interviews with Analysts and a Characterization of Task Sequences.
%U http://dblp.uni-trier.de/db/conf/beliv/beliv2014.html#BrehmerSIM14
%X We characterize five task sequences related to visualizing dimensionally-reduced data, drawing from data collected from interviews with ten data analysts spanning six application domains, and from our understanding of the technique literature. Our characterization of visualization task sequences for dimensionally-reduced data fills a gap created by the abundance of proposed techniques and tools that combine high-dimensional data analysis, dimensionality reduction, and visualization, and is intended to be used in the design and evaluation of future techniques and tools. We discuss implications for the evaluation of existing work practices, for the design of controlled experiments, and for the analysis of post-deployment field observations.
%@ 978-1-4503-3209-5
@inproceedings{conf/beliv/BrehmerSIM14,
abstract = {We characterize five task sequences related to visualizing dimensionally-reduced data, drawing from data collected from interviews with ten data analysts spanning six application domains, and from our understanding of the technique literature. Our characterization of visualization task sequences for dimensionally-reduced data fills a gap created by the abundance of proposed techniques and tools that combine high-dimensional data analysis, dimensionality reduction, and visualization, and is intended to be used in the design and evaluation of future techniques and tools. We discuss implications for the evaluation of existing work practices, for the design of controlled experiments, and for the analysis of post-deployment field observations.},
added-at = {2020-03-04T13:19:08.000+0100},
author = {Brehmer, Matthew and Sedlmair, Michael and Ingram, Stephen and Munzner, Tamara},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2c63712b5a854b051f2062b6bd734597a/leonkokkoliadis},
booktitle = {Proceedings of the Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV)},
crossref = {conf/beliv/2014},
doi = {10.1145/2669557.2669559},
editor = {Lam, Heidi and Isenberg, Petra and Isenberg, Tobias and Sedlmair, Michael},
ee = {https://doi.org/10.1145/2669557.2669559},
interhash = {d7cde532565d81a8cfe849c7393cc873},
intrahash = {c63712b5a854b051f2062b6bd734597a},
isbn = {978-1-4503-3209-5},
keywords = {2014 A08 sfbtrr161 visus:sedlmaml},
pages = {1-8},
publisher = {ACM},
timestamp = {2020-03-04T12:20:35.000+0100},
title = {Visualizing Dimensionally-Reduced Data: Interviews with Analysts and a Characterization of Task Sequences.},
url = {http://dblp.uni-trier.de/db/conf/beliv/beliv2014.html#BrehmerSIM14},
year = 2014
}
