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 gästpublikationACM 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

Vetenskapsgrenar

  • 113 Data- och informationsvetenskap

Citera det här

Ruotsalo, T., Jaakko, P., Eugster, M. J. A., Glowacka, D., Konyushkova, K., Athukorala, K., ... Kaski, S. (2013). Directing Exploratory Search with Interactive Intent Modeling. I ACM International Conference on Information and Knowledge Management (CIKM 2013) (s. 1759-1764). New York: ACM. https://doi.org/10.1145/2505515.2505644
Ruotsalo, Tuukka ; Jaakko, Peltonen ; Eugster, Manuel J. A ; Glowacka, Dorota ; Konyushkova, Ksenia ; Athukorala, Kumaripaba ; Kosunen, Ilkka ; Reijonen, Aki ; Myllymäki, Petri ; Jacucci, Giulio ; Kaski, Samuel. / Directing Exploratory Search with Interactive Intent Modeling. ACM International Conference on Information and Knowledge Management (CIKM 2013). New York : ACM, 2013. s. 1759-1764
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title = "Directing Exploratory Search with Interactive Intent Modeling",
abstract = "We introduce interactive intent modeling, where the user directs exploratorysearch by providing feedback for estimates of search intents.The estimated intents are visualized for interaction on an IntentRadar, a novel visual interface that organizes intents onto a radiallayout where relevant intents are close to the center of the visualizationand similar intents have similar angles. The user can givefeedback on the visualized intents, from which the system learnsand visualizes improved intent estimates. We systematically evaluatedthe effect of the interactive intent modeling in a mixed-methodtask-based information seeking setting with 30 users, where wecompared two interface variants for interactive intent modeling,namely intent radar and a simpler list-based interface, to a conventionalsearch system. The results show that interactive intentmodeling significantly improves users’ task performance and thequality of retrieved information.",
keywords = "113 Computer and information sciences",
author = "Tuukka Ruotsalo and Peltonen Jaakko and Eugster, {Manuel J. A} and Dorota Glowacka and Ksenia Konyushkova and Kumaripaba Athukorala and Ilkka Kosunen and Aki Reijonen and Petri Myllym{\"a}ki and Giulio Jacucci and Samuel Kaski",
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Ruotsalo, T, Jaakko, P, Eugster, MJA, Glowacka, D, Konyushkova, K, Athukorala, K, Kosunen, I, Reijonen, A, Myllymäki, P, Jacucci, G & Kaski, S 2013, Directing Exploratory Search with Interactive Intent Modeling. i ACM International Conference on Information and Knowledge Management (CIKM 2013). ACM, New York, s. 1759-1764, ACM international conference on Conference on information & knowledge management , Burlingame, Förenta Staterna (USA), 27/11/2013. https://doi.org/10.1145/2505515.2505644

Directing Exploratory Search with Interactive Intent Modeling. / Ruotsalo, Tuukka; Jaakko, Peltonen; Eugster, Manuel J. A; Glowacka, Dorota; Konyushkova, Ksenia; Athukorala, Kumaripaba; Kosunen, Ilkka; Reijonen, Aki; Myllymäki, Petri; Jacucci, Giulio; Kaski, Samuel.

ACM International Conference on Information and Knowledge Management (CIKM 2013). New York : ACM, 2013. s. 1759-1764.

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review

TY - GEN

T1 - Directing Exploratory Search with Interactive Intent Modeling

AU - Ruotsalo, Tuukka

AU - Jaakko, Peltonen

AU - Eugster, Manuel J. A

AU - Glowacka, Dorota

AU - Konyushkova, Ksenia

AU - Athukorala, Kumaripaba

AU - Kosunen, Ilkka

AU - Reijonen, Aki

AU - Myllymäki, Petri

AU - Jacucci, Giulio

AU - Kaski, Samuel

N1 - Volume: Proceeding volume:

PY - 2013

Y1 - 2013

N2 - We introduce interactive intent modeling, where the user directs exploratorysearch by providing feedback for estimates of search intents.The estimated intents are visualized for interaction on an IntentRadar, a novel visual interface that organizes intents onto a radiallayout where relevant intents are close to the center of the visualizationand similar intents have similar angles. The user can givefeedback on the visualized intents, from which the system learnsand visualizes improved intent estimates. We systematically evaluatedthe effect of the interactive intent modeling in a mixed-methodtask-based information seeking setting with 30 users, where wecompared two interface variants for interactive intent modeling,namely intent radar and a simpler list-based interface, to a conventionalsearch system. The results show that interactive intentmodeling significantly improves users’ task performance and thequality of retrieved information.

AB - We introduce interactive intent modeling, where the user directs exploratorysearch by providing feedback for estimates of search intents.The estimated intents are visualized for interaction on an IntentRadar, a novel visual interface that organizes intents onto a radiallayout where relevant intents are close to the center of the visualizationand similar intents have similar angles. The user can givefeedback on the visualized intents, from which the system learnsand visualizes improved intent estimates. We systematically evaluatedthe effect of the interactive intent modeling in a mixed-methodtask-based information seeking setting with 30 users, where wecompared two interface variants for interactive intent modeling,namely intent radar and a simpler list-based interface, to a conventionalsearch system. The results show that interactive intentmodeling significantly improves users’ task performance and thequality of retrieved information.

KW - 113 Computer and information sciences

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DO - 10.1145/2505515.2505644

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BT - ACM International Conference on Information and Knowledge Management (CIKM 2013)

PB - ACM

CY - New York

ER -

Ruotsalo T, Jaakko P, Eugster MJA, Glowacka D, Konyushkova K, Athukorala K et al. Directing Exploratory Search with Interactive Intent Modeling. I ACM International Conference on Information and Knowledge Management (CIKM 2013). New York: ACM. 2013. s. 1759-1764 https://doi.org/10.1145/2505515.2505644