%0 Journal Article %1 RuotsaloJacucciEtAl15cacm %A Ruotsalo, Tuukka %A Jacucci, Giulio %A Myllymäki, Petri %A Kaski, Samuel %D 2015 %J Communications of the ACM %K 01801 acm paper ai adaptive search user interface information retrieval tool zzz.iui %N 1 %P 86--92 %R 10.1145/2656334 %T Interactive Intent Modeling: Information Discovery beyond Search %V 58 %X The system should let users incrementally direct their search toward relevant, though not initially obvious, information. Current search engines offer limited assistance in complex search tasks; users are distracted by having to focus their cognitive effort on finding navigation cues rather than on learning and selecting relevant information. Interactive intent modeling enhances human information exploration through computational modeling (visualized for interaction), helping users search and explore via user interfaces that are highly functional but not cluttered or distracting. Interactive intent modeling can improve task-level information-seeking performance by over 100 percent.

@article{RuotsaloJacucciEtAl15cacm, abstract = {The system should let users incrementally direct their search toward relevant, though not initially obvious, information. Current search engines offer limited assistance in complex search tasks; users are distracted by having to focus their cognitive effort on finding navigation cues rather than on learning and selecting relevant information. Interactive intent modeling enhances human information exploration through computational modeling (visualized for interaction), helping users search and explore via user interfaces that are highly functional but not cluttered or distracting. Interactive intent modeling can improve task-level information-seeking performance by over 100 percent.}, added-at = {2016-11-21T17:30:48.000+0100}, author = {Ruotsalo, Tuukka and Jacucci, Giulio and Myllym\"{a}ki, Petri and Kaski, Samuel}, biburl = {https://www.bibsonomy.org/bibtex/2111807d9da8c038e523c3422ef7750da/flint63}, doi = {10.1145/2656334}, file = {ACM Digital Library:2015/RuotsaloJacucciEtAl15cacm.pdf:PDF;Related Web Site:http\://etsimo.com/:URL}, groups = {public}, interhash = {2c0f0482e0cb3810ad550f8b3e21f23f}, intrahash = {111807d9da8c038e523c3422ef7750da}, issn = {0001-0782}, journal = {Communications of the ACM}, keywords = {01801 acm paper ai adaptive search user interface information retrieval tool zzz.iui}, month = {#jan#}, number = 1, pages = {86--92}, timestamp = {2018-04-16T12:23:36.000+0200}, title = {Interactive Intent Modeling: Information Discovery beyond Search}, username = {flint63}, volume = 58, year = 2015 }