TY - GEN
T1 - The Pattern is in the Details
T2 - 2022 CHI Conference on Human Factors in Computing Systems, CHI 2022
AU - Yang, Yalong
AU - Xia, Wenyu
AU - Lekschas, Fritz
AU - Nobre, Carolina
AU - Krüger, Robert
AU - Pfister, Hanspeter
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/4/29
Y1 - 2022/4/29
N2 - Matrix visualizations are widely used to display large-scale network, tabular, set, or sequential data. They typically only encode a single value per cell, e.g., through color. However, this can greatly limit the visualizations' utility when exploring multivariate data, where each cell represents a data point with multiple values (referred to as details). Three well-established interaction approaches can be applicable in multivariate matrix visualizations (or MMV): focus+context, pan&zoom, and overview+detail. However, there is little empirical knowledge of how these approaches compare in exploring MMV. We report on two studies comparing them for locating, searching, and contextualizing details in MMV. We first compared four focus+context techniques and found that the fisheye lens overall outperformed the others. We then compared the fisheye lens, to pan&zoom and overview+detail. We found that pan&zoom was faster in locating and searching details, and as good as overview+detail in contextualizing details.
AB - Matrix visualizations are widely used to display large-scale network, tabular, set, or sequential data. They typically only encode a single value per cell, e.g., through color. However, this can greatly limit the visualizations' utility when exploring multivariate data, where each cell represents a data point with multiple values (referred to as details). Three well-established interaction approaches can be applicable in multivariate matrix visualizations (or MMV): focus+context, pan&zoom, and overview+detail. However, there is little empirical knowledge of how these approaches compare in exploring MMV. We report on two studies comparing them for locating, searching, and contextualizing details in MMV. We first compared four focus+context techniques and found that the fisheye lens overall outperformed the others. We then compared the fisheye lens, to pan&zoom and overview+detail. We found that pan&zoom was faster in locating and searching details, and as good as overview+detail in contextualizing details.
KW - Multi-level navigation
KW - focus+context
KW - matrix
KW - multivariate
KW - overview+detail
KW - pan&zoom
UR - http://www.scopus.com/inward/record.url?scp=85130566493&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85130566493&partnerID=8YFLogxK
U2 - 10.1145/3491102.3517673
DO - 10.1145/3491102.3517673
M3 - Conference contribution
AN - SCOPUS:85130566493
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 30 April 2022 through 5 May 2022
ER -