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

doi:10.1145/2505515.2505644

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/konferenshandling › Konferensbidrag › Vetenskaplig › Peer 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.

Originalspråk	engelska
Titel på värdpublikation	ACM International Conference on Information and Knowledge Management (CIKM 2013)
Antal sidor	6
Utgivningsort	New York
Förlag	ACM
Utgivningsdatum	2013
Sidor	1759-1764
ISBN (tryckt)	978-1-4503-2263-8
DOI	https://doi.org/10.1145/2505515.2505644
Status	Publicerad - 2013
MoE-publikationstyp	A4 Artikel i en konferenspublikation
Evenemang	ACM international conference on Conference on information & knowledge management - Burlingame, Förenta Staterna (USA) Varaktighet: 27 nov. 2013 → 1 dec. 2013 Konferensnummer: 22

Vetenskapsgrenar

113 Data- och informationsvetenskap

Åtkomst av dokument

10.1145/2505515.2505644

http://dl.acm.org/citation.cfm?id=2505644

Citera det här

Ruotsalo, T., Jaakko, P., Eugster, M. J. A., 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) (s. 1759-1764). 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

@inproceedings{bfe78cb0e02a4b60b188567562367dd0,

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{\textquoteright} 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",

year = "2013",

doi = "10.1145/2505515.2505644",

language = "English",

isbn = "978-1-4503-2263-8",

pages = "1759--1764",

booktitle = "ACM International Conference on Information and Knowledge Management (CIKM 2013)",

publisher = "ACM",

address = "International",

note = "ACM international conference on Conference on information & knowledge management ; Conference date: 27-11-2013 Through 01-12-2013",

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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/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review

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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 - Conference code: 22

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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.

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

PB - ACM

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T2 - ACM international conference on Conference on information & knowledge management

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ER -