We present a game-based interface for acquiring common sense knowledge. In addition to being interactive and entertaining, our interface guides the knowledge acquisition process to learn about the most salient characteristics of a particular concept. We use statistical classification methods to discover the most informative characteristics in the Open Mind Common Sense knowledge base, and use these characteristics to play a game of 20 Questions with the user. Our interface also allows users to enter knowledge more quickly than a more traditional knowledge-acquisition interface. An evaluation showed that users enjoyed the game and that it increased the speed of knowledge acquisition.
%0 Conference Paper
%1 citeulike:4031660
%A Speer, Robert
%A Krishnamurthy, Jayant
%A Havasi, Catherine
%A Smith, Dustin
%A Lieberman, Henry
%A Arnold, Kenneth
%B IUI '09: Proceedingsc of the 13th international conference on Intelligent user interfaces
%C New York, NY, USA
%D 2008
%I ACM
%K community contribution dlpaws knowledge-elicitation rfpaws shpaws social-web
%P 137--146
%R 10.1145/1502650.1502672
%T An interface for targeted collection of common sense knowledge using a mixture model
%U http://dx.doi.org/10.1145/1502650.1502672
%X We present a game-based interface for acquiring common sense knowledge. In addition to being interactive and entertaining, our interface guides the knowledge acquisition process to learn about the most salient characteristics of a particular concept. We use statistical classification methods to discover the most informative characteristics in the Open Mind Common Sense knowledge base, and use these characteristics to play a game of 20 Questions with the user. Our interface also allows users to enter knowledge more quickly than a more traditional knowledge-acquisition interface. An evaluation showed that users enjoyed the game and that it increased the speed of knowledge acquisition.
%@ 978-1-60558-168-2
@inproceedings{citeulike:4031660,
abstract = {We present a game-based interface for acquiring common sense knowledge. In addition to being interactive and entertaining, our interface guides the knowledge acquisition process to learn about the most salient characteristics of a particular concept. We use statistical classification methods to discover the most informative characteristics in the Open Mind Common Sense knowledge base, and use these characteristics to play a game of 20 Questions with the user. Our interface also allows users to enter knowledge more quickly than a more traditional knowledge-acquisition interface. An evaluation showed that users enjoyed the game and that it increased the speed of knowledge acquisition.},
added-at = {2009-07-01T11:12:30.000+0200},
address = {New York, NY, USA},
author = {Speer, Robert and Krishnamurthy, Jayant and Havasi, Catherine and Smith, Dustin and Lieberman, Henry and Arnold, Kenneth},
biburl = {https://www.bibsonomy.org/bibtex/2db84ec9c1f822617ce1c5561c0cc4a1c/brusilovsky},
booktitle = {IUI '09: Proceedingsc of the 13th international conference on Intelligent user interfaces},
citeulike-article-id = {4031660},
doi = {10.1145/1502650.1502672},
interhash = {9049594d47b28808a51093c991e900a8},
intrahash = {db84ec9c1f822617ce1c5561c0cc4a1c},
isbn = {978-1-60558-168-2},
keywords = {community contribution dlpaws knowledge-elicitation rfpaws shpaws social-web},
location = {Sanibel Island, Florida, USA},
pages = {137--146},
posted-at = {2009-02-10 19:17:05},
priority = {2},
publisher = {ACM},
timestamp = {2009-07-01T11:12:33.000+0200},
title = {An interface for targeted collection of common sense knowledge using a mixture model},
url = {http://dx.doi.org/10.1145/1502650.1502672},
year = 2008
}