TY - GEN
T1 - Techniques to visualize occluded graph elements for 2.5D map editing
AU - Fujita, Kazuyuki
AU - Hayashi, Daigo
AU - Hara, Kotaro
AU - Takashima, Kazuki
AU - Kitamura, Yoshifumi
N1 - Funding Information:
This work was partly supported by the Cooperative Research Project Program of the Research Institute for Electrical Communication, Tohoku University.
PY - 2020/4/25
Y1 - 2020/4/25
N2 - We propose an interface with two novel techniques to visualize occluded graph nodes and edges that help the user edit map data with a 2.5D geographical structure (e.g., multi-floor indoor maps). We first design a visualization technique -Repel Signification- that employs micro-animation to signify the graph elements that are overlapping with each other (and potentially erroneous). We also design a technique that enables the user to edit the occluded components with Expansion Interaction, which simultaneously visualizes both in-floor and across-floor occluded connections between the map elements. The combination of the two methods would enable the map editors (non-experts) to effectively find and fix erroneous data in 2.5D maps without changing the operation manner from the existing 2D map-editing interface.
AB - We propose an interface with two novel techniques to visualize occluded graph nodes and edges that help the user edit map data with a 2.5D geographical structure (e.g., multi-floor indoor maps). We first design a visualization technique -Repel Signification- that employs micro-animation to signify the graph elements that are overlapping with each other (and potentially erroneous). We also design a technique that enables the user to edit the occluded components with Expansion Interaction, which simultaneously visualizes both in-floor and across-floor occluded connections between the map elements. The combination of the two methods would enable the map editors (non-experts) to effectively find and fix erroneous data in 2.5D maps without changing the operation manner from the existing 2D map-editing interface.
KW - Geovisualization
KW - Graph visualization
UR - http://www.scopus.com/inward/record.url?scp=85090227255&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85090227255&partnerID=8YFLogxK
U2 - 10.1145/3334480.3382987
DO - 10.1145/3334480.3382987
M3 - Conference contribution
AN - SCOPUS:85090227255
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
Y2 - 25 April 2020 through 30 April 2020
ER -