Directing exploratory search with interactive intent modeling

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013
Publisher	ACM
Pages	1759-1764
Number of pages	6
DOIs	https://doi.org/10.1145/2505515.2505644
Publication status	Published - 2013

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http://dl.acm.org/citation.cfm?doid=2505515.2505644

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Ruotsalo, T., Peltonen, J., 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. In 22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013 (pp. 1759-1764). ACM. https://doi.org/10.1145/2505515.2505644

@inproceedings{6a76a908ec4942a7af3bace1cf0e485d,

title = "Directing exploratory search with interactive intent modeling",

abstract = "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.",

author = "Tuukka Ruotsalo and Jaakko Peltonen 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",

pages = "1759--1764",

booktitle = "22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013",

publisher = "ACM",

}

Ruotsalo, T, Peltonen, J, 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. in 22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013. ACM, pp. 1759-1764. https://doi.org/10.1145/2505515.2505644

Directing exploratory search with interactive intent modeling. / Ruotsalo, Tuukka; Peltonen, Jaakko; Eugster, Manuel J. A. et al.

22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013. ACM, 2013. p. 1759-1764.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Directing exploratory search with interactive intent modeling

AU - Ruotsalo, Tuukka

AU - Peltonen, Jaakko

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

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

U2 - 10.1145/2505515.2505644

DO - 10.1145/2505515.2505644

M3 - Conference contribution

SP - 1759

EP - 1764

BT - 22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013

PB - ACM

ER -

Directing exploratory search with interactive intent modeling

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