inria-00373679, version 1
Topology-Aware Navigation in Large Networks
Tomer Moscovich
a, 1Fanny Chevalier
a, 1Nathalie Henry b, 2Emmanuel Pietriga
b, 3Jean-Daniel Fekete
2
SIGCHI conference on Human Factors in computing systems (2009) 2319--2328
Abstract: Applications supporting navigation in large networks are used every days by millions of people. They include road map navigators, flight 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 article 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 compare 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.
- a – INRIA-MSR
- b – INRIA
- 1: Microsoft Research - Inria Joint Centre (MSR - INRIA)
- INRIA – Microsoft – Microsoft Research Laboratory Cambridge
- 2: AVIZ (INRIA Saclay - Ile de France)
- INRIA
- 3: IN-SITU (INRIA Saclay - Ile de France)
- INRIA – CNRS : UMR8623 – Université Paris XI - Paris Sud
- Domain : Computer Science/Human-Computer Interaction
- Keywords : Interaction techniques – content-aware – graph visualization – document navigation
- inria-00373679, version 1
- http://hal.inria.fr/inria-00373679
- oai:hal.inria.fr:inria-00373679
- From: Emmanuel Pietriga
- Submitted on: Monday, 6 April 2009 22:00:43
- Updated on: Tuesday, 31 May 2011 15:19:38









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