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IntentRadar: Search user interface that anticipates user's search intents

Tutkimustuotosvertaisarvioitu

Standard

IntentRadar : Search user interface that anticipates user's search intents. / Ruotsalo, Tuukka; Peltonen, Jaakko; Eugster, Manuel J A; Glowacka, Dorota; Reijonen, Aki; Jacucci, Giulio; Myllymäki, Petri; Kaski, Samuel.

CHI EA 2014: One of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2014. s. 455-458.

Tutkimustuotosvertaisarvioitu

Harvard

Ruotsalo, T, Peltonen, J, Eugster, MJA, Glowacka, D, Reijonen, A, Jacucci, G, Myllymäki, P & Kaski, S 2014, IntentRadar: Search user interface that anticipates user's search intents. julkaisussa CHI EA 2014: One of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems. Association for Computing Machinery, Sivut 455-458, Toronto, ON, Kanada, 26/04/14. https://doi.org/10.1145/2559206.2574807

APA

Ruotsalo, T., Peltonen, J., Eugster, M. J. A., Glowacka, D., Reijonen, A., Jacucci, G., ... Kaski, S. (2014). IntentRadar: Search user interface that anticipates user's search intents. teoksessa CHI EA 2014: One of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems (Sivut 455-458). Association for Computing Machinery. https://doi.org/10.1145/2559206.2574807

Vancouver

Ruotsalo T, Peltonen J, Eugster MJA, Glowacka D, Reijonen A, Jacucci G et al. IntentRadar: Search user interface that anticipates user's search intents. julkaisussa CHI EA 2014: One of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems. Association for Computing Machinery. 2014. s. 455-458 https://doi.org/10.1145/2559206.2574807

Author

Ruotsalo, Tuukka ; Peltonen, Jaakko ; Eugster, Manuel J A ; Glowacka, Dorota ; Reijonen, Aki ; Jacucci, Giulio ; Myllymäki, Petri ; Kaski, Samuel. / IntentRadar : Search user interface that anticipates user's search intents. CHI EA 2014: One of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2014. Sivut 455-458

Bibtex - Lataa

@inproceedings{fa372d5abee6463984f222df8b98bd42,
title = "IntentRadar: Search user interface that anticipates user's search intents",
abstract = "We introduce IntentRadar, an interactive search user interface that anticipates user's search intents by estimating them from user interaction. The estimated intents are represented as keywords and visualized on a radial layout that organizes the keywords as directions in the information space. IntentRadar assists users to direct their search by allowing to target relevance feedback on keywords by manipulating the position of the keywords on the radar. The system then learns and visualizes improved estimates of intents and retrieves documents corresponding to the present search intent estimate. IntentRadar has been shown to significantly improve users' task performance and the quality of retrieved information without compromising task execution time.",
keywords = "Intent modeling, Interactive information retrieval, Search user interfaces, Visualization",
author = "Tuukka Ruotsalo and Jaakko Peltonen and Eugster, {Manuel J A} and Dorota Glowacka and Aki Reijonen and Giulio Jacucci and Petri Myllym{\"a}ki and Samuel Kaski",
year = "2014",
doi = "10.1145/2559206.2574807",
language = "English",
isbn = "9781450324748",
pages = "455--458",
booktitle = "CHI EA 2014: One of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems",
publisher = "Association for Computing Machinery",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - IntentRadar

T2 - Search user interface that anticipates user's search intents

AU - Ruotsalo, Tuukka

AU - Peltonen, Jaakko

AU - Eugster, Manuel J A

AU - Glowacka, Dorota

AU - Reijonen, Aki

AU - Jacucci, Giulio

AU - Myllymäki, Petri

AU - Kaski, Samuel

PY - 2014

Y1 - 2014

N2 - We introduce IntentRadar, an interactive search user interface that anticipates user's search intents by estimating them from user interaction. The estimated intents are represented as keywords and visualized on a radial layout that organizes the keywords as directions in the information space. IntentRadar assists users to direct their search by allowing to target relevance feedback on keywords by manipulating the position of the keywords on the radar. The system then learns and visualizes improved estimates of intents and retrieves documents corresponding to the present search intent estimate. IntentRadar has been shown to significantly improve users' task performance and the quality of retrieved information without compromising task execution time.

AB - We introduce IntentRadar, an interactive search user interface that anticipates user's search intents by estimating them from user interaction. The estimated intents are represented as keywords and visualized on a radial layout that organizes the keywords as directions in the information space. IntentRadar assists users to direct their search by allowing to target relevance feedback on keywords by manipulating the position of the keywords on the radar. The system then learns and visualizes improved estimates of intents and retrieves documents corresponding to the present search intent estimate. IntentRadar has been shown to significantly improve users' task performance and the quality of retrieved information without compromising task execution time.

KW - Intent modeling

KW - Interactive information retrieval

KW - Search user interfaces

KW - Visualization

UR - http://www.scopus.com/inward/record.url?scp=84900560093&partnerID=8YFLogxK

U2 - 10.1145/2559206.2574807

DO - 10.1145/2559206.2574807

M3 - Conference contribution

SN - 9781450324748

SP - 455

EP - 458

BT - CHI EA 2014: One of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

ER -