Directing Exploratory Search with Interactive Intent Modeling

Tuukka Ruotsalo, Peltonen Jaakko, Manuel J. A Eugster, Dorota Glowacka, Ksenia Konyushkova, Kumaripaba Athukorala, Ilkka Kosunen, Aki Reijonen, Petri Myllymäki, Giulio Jacucci, Samuel Kaski

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review

Sammanfattning

We introduce interactive intent modeling, where the user directs exploratory
search by providing feedback for estimates of search intents.
The estimated intents are visualized for interaction on an Intent
Radar, a novel visual interface that organizes intents onto a radial
layout where relevant intents are close to the center of the visualization
and similar intents have similar angles. The user can give
feedback on the visualized intents, from which the system learns
and visualizes improved intent estimates. We systematically evaluated
the effect of the interactive intent modeling in a mixed-method
task-based information seeking setting with 30 users, where we
compared two interface variants for interactive intent modeling,
namely intent radar and a simpler list-based interface, to a conventional
search system. The results show that interactive intent
modeling significantly improves users’ task performance and the
quality of retrieved information.
Originalspråkengelska
Titel på värdpublikationACM International Conference on Information and Knowledge Management (CIKM 2013)
Antal sidor6
UtgivningsortNew York
FörlagACM
Utgivningsdatum2013
Sidor1759-1764
ISBN (tryckt)978-1-4503-2263-8
DOI
StatusPublicerad - 2013
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangACM international conference on Conference on information & knowledge management - Burlingame, Förenta Staterna (USA)
Varaktighet: 27 nov. 20131 dec. 2013
Konferensnummer: 22

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