HAL - INRIA :: [inria-00373679, version 1] Topology-Aware Navigation in Large Networks

inria-00373679, version 1

%% inria-00373679, version 1
%% http://hal.inria.fr/inria-00373679/en/
@inproceedings{MOSCOVICH:2009:INRIA-00373679:1,
	title = { {T}opology-{A}ware {N}avigation in {L}arge {N}etworks},
	author = {{M}oscovich, {T}omer and {C}hevalier, {F}anny and {H}enry, {N}athalie and {P}ietriga, {E}mmanuel and {F}ekete, {J}ean-{D}aniel},
	abstract = {{A}pplications supporting navigation in large networks are used every days by millions of people. {T}hey include road map navigators, flight route visualization systems, and network visualization systems using node-link diagrams. {T}hese applications currently provide generic interaction methods for navigation: pan-and-zoom and sometimes bird's eye views. {T}his article explores the idea of exploiting the connection information provided by the network to help navigate these large spaces. {W}e visually augment two traditional navigation methods, and develop two special-purpose techniques. {T}he first new technique, called "{L}ink {S}liding", provides guided panning when continuously dragging along a visible link. {T}he second technique, called "{B}ring \& {G}o", brings adjacent nodes nearby when pointing to a node. {W}e compare the performance of these techniques in both an adjacency exploration task and a node revisiting task. {T}his comparison illustrates the various advantages of content-aware network navigation techniques. {A} significant speed advantage is found for the {B}ring \& {G}o technique over other methods.},
	keywords = {{I}nteraction techniques, content-aware, graph visualization, document navigation},
	language = {{A}nglais},
	affiliation = {{INRIA} {M}icrosoft - {INRIA}_{MSR} - {INRIA} - {INRIA} {M}icrosoft - {INRIA}-{MSR} - {INRIA} - {INRIA} {S}aclay - {I}le de {F}rance - {AVIZ} - {INRIA} - {IN}-{SITU} - {INRIA} {S}aclay - {I}le de {F}rance - {INRIA} - {CNRS} : {UMR}8623 - {U}niversit{\'e} {P}aris {S}ud - {P}aris {XI} },
	booktitle = {{SIGCHI} conference on {H}uman {F}actors in computing systems {CHI} '09: {P}roceedings of the {SIGCHI} conference on {H}uman {F}actors in computing systems },
	pages = {2319--2328 },
	address = {{B}oston {\'E}tats-{U}nis d'{A}m{\'e}rique },
	organization = {{ACM} },
	editor = {{ACM} {P}ress },
	note = {{H}.: {I}nformation {S}ystems/{H}.5: {INFORMATION} {INTERFACES} {AND} {PRESENTATION} (e.g., {HCI})/{H}.5.2: {U}ser {I}nterfaces, {H}.: {I}nformation {S}ystems/{H}.1: {MODELS} {AND} {PRINCIPLES}/{H}.1.2: {U}ser/{M}achine {S}ystems, {I}.: {C}omputing {M}ethodologies/{I}.3: {COMPUTER} {GRAPHICS}/{I}.3.6: {M}ethodology and {T}echniques },
	audience = {internationale },
	doi = {10.1145/1518701.1519056 },
    year = {2009},
    URL = {dx.doi.org/10.1145/1518701.1519056 http://hal.inria.fr/inria-00373679/en/},
    URL = {http://hal.inria.fr/inria-00373679/PDF/chi2009_toponav.pdf},
}

%F inria-00373679, version 1
%0 Conference Proceedings
%U http://hal.inria.fr/inria-00373679/en/
%2 INFO:INFO_HC
%T Topology-Aware Navigation in Large Networks
%A Moscovich, Tomer
%A Chevalier, Fanny
%A Henry, Nathalie
%A Pietriga, Emmanuel
%A Fekete, Jean-Daniel
%A Moscovich, T.
%A Chevalier, F.
%A Henry, N.
%A Pietriga, E.
%A Fekete, J.-D.
%A Moscovich T. et al
%+ INRIA Microsoft - INRIA_MSR - INRIA - INRIA Microsoft - INRIA-MSR - INRIA - INRIA Saclay - Ile de France - AVIZ - INRIA - IN-SITU - INRIA Saclay - Ile de France - INRIA - CNRS : UMR8623 - Université Paris Sud - Paris XI
%X 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.
%2 H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g., HCI)/H.5.2: User Interfaces, H.: Information Systems/H.1: MODELS AND PRINCIPLES/H.1.2: User/Machine Systems, I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques
%G Anglais
%8 2009
%2 internationale
%B SIGCHI conference on Human Factors in computing systems
%2 Boston
%2 États-Unis d'Amérique
%8 2009-04-09
%2 ACM
%E ACM Press
%2 CHI '09: Proceedings of the SIGCHI conference on Human Factors in computing systems
%P 2319--2328
%R 10.1145/1518701.1519056
%K Interaction techniques, content-aware, graph visualization, document navigation

Topology-Aware Navigation in Large Networks

Tomer Moscovich (

)^a^, 1, Fanny Chevalier (

)^a^, 2, Nathalie Henry^b^, 3, Emmanuel Pietriga (

)^b^, 4, Jean-Daniel Fekete (

) ³

(2009)

Accès au texte intégral
PDF

SIGCHI conference on Human Factors in computing systems (2009) 2319--2328

Lien vers texte intégral chez l'éditeur

Résumé : 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 :	INRIA Microsoft (INRIA_MSR)
	INRIA
2 :	INRIA Microsoft (INRIA-MSR)
	INRIA
3 :	INRIA Saclay - Ile de France (AVIZ)
	INRIA
4 :	IN-SITU (INRIA Saclay - Ile de France)
	INRIA – CNRS : UMR8623 – Université Paris Sud - Paris XI

Domaine

Informatique/Interface homme-machine

Mots-clés : Interaction techniques – content-aware – graph visualization – document navigation

DOI : 10.1145/1518701.1519056


inria-00373679, version 1
http://hal.inria.fr/inria-00373679/fr/
oai:hal.inria.fr:inria-00373679_v1
Contributeur : Emmanuel Pietriga <>
Soumis le : Lundi 6 Avril 2009, 22:00:43
Dernière modification le : Mardi 7 Avril 2009, 08:45:04