Description

Applications supporting navigation in large networks are used every days by millions of people. They include road map navigators, high route visualization systems, and network visualization systems using node-link diagrams. These applications currently provide generic interaction methods for navigation: pan-and-zoom and sometimes bird’s eye views.

This project explores the idea of exploiting the connection information provided by the network to help navigate these large spaces. We visually augment two traditional navigation methods, and develop two special-purpose techniques. The ﬁrst new technique, called “Link Sliding”, provides guided panning when continuously dragging along a visible link. The second technique, called “Bring & Go”, brings adjacent nodes nearby when pointing to a node.

We have compared the performance of these techniques in both an adjacency exploration task and a node revisiting task. This comparison illustrates the various advantages of content-aware network navigation techniques. A signiﬁcant speed advantage is found for the Bring & Go technique over other methods.

Article

T. Moscovich, F. Chevalier, N. Henry, E. Pietriga, J.-D. Fekete, Topology-Aware Navigation in Large Networks, CHI '09: Proceedings of the SIGCHI conference on Human Factors in computing systems, pages 2319-2328, April 2009, Boston, USA

ACM DL entry
HAL INRIA entry