TY - GEN
T1 - Canyon
T2 - 31st Annual CHI Conference on Human Factors in Computing Systems: Changing Perspectives, CHI 2013
AU - Lon, Alexandra
AU - Chang, Y. L.Betty
AU - Haller, Michael
AU - Hancock, Mark
AU - Scott, Stacey D.
PY - 2013
Y1 - 2013
N2 - Overview+Detail interfaces can be used to examine the details of complex data while retaining the data's overall context. Dynamic data introduce challenges for these interfaces, however, as moving objects may exit the detail view, as well as a person's field of view if they are working at a large interactive surface. To address this "off-view" problem, we propose a new information visualization technique, called Canyon. This technique attaches a small view of an off-view object, including some surrounding context, to the external boundary of the detail view. The area between the detail view and the region containing the off-view object is virtually "folded" to conserve space. A comparison study was conducted contrasting the benefits and limitations of Canyon to an established technique, called Wedge. Canyon was more accurate across a number of tasks, especially more complex tasks, and was comparably efficient.
AB - Overview+Detail interfaces can be used to examine the details of complex data while retaining the data's overall context. Dynamic data introduce challenges for these interfaces, however, as moving objects may exit the detail view, as well as a person's field of view if they are working at a large interactive surface. To address this "off-view" problem, we propose a new information visualization technique, called Canyon. This technique attaches a small view of an off-view object, including some surrounding context, to the external boundary of the detail view. The area between the detail view and the region containing the off-view object is virtually "folded" to conserve space. A comparison study was conducted contrasting the benefits and limitations of Canyon to an established technique, called Wedge. Canyon was more accurate across a number of tasks, especially more complex tasks, and was comparably efficient.
KW - Dynamic data
KW - Information visualization
KW - Large display
KW - Map data
KW - Overview+Detail
UR - http://www.scopus.com/inward/record.url?scp=84877939728&partnerID=8YFLogxK
U2 - 10.1145/2470654.2466431
DO - 10.1145/2470654.2466431
M3 - Conference contribution
AN - SCOPUS:84877939728
SN - 9781450318990
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 3149
EP - 3158
BT - CHI 2013
Y2 - 27 April 2013 through 2 May 2013
ER -