ACM Home Page
Please provide us with feedback. Feedback
Input-agreement: a new mechanism for collecting data using human computation games
Full text PdfPdf (1.74 MB)
Source
Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Classifying and recommending content table of contents
Pages 1197-1206  
Year of Publication: 2009
ISBN:978-1-60558-246-7
Authors
Edith Law  Carnegie Mellon University, Pittsburgh, PA, USA
Luis von Ahn  Carnegie Mellon University, Pittsburgh, PA, USA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 34,   Downloads (12 Months): 170,   Citation Count: 2
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1518701.1518881
What is a DOI?

ABSTRACT

Since its introduction at CHI 2004, the ESP Game has inspired many similar games that share the goal of gathering data from players. This paper introduces a new mechanism for collecting labeled data using "games with a purpose." In this mechanism, players are provided with either the same or a different object, and asked to describe that object to each other. Based on each other's descriptions, players must decide whether they have the same object or not. We explain why this new mechanism is superior for input data with certain characteristics, introduce an enjoyable new game called "TagATune" that collects tags for music clips via this mechanism, and present findings on the data that is collected by this game.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
Healey, P., Swoboda, N., Umata, I., and King, J. Graphical language games: interactional constraints on representational form. Cognitive Science, 31:285--309, 2007.
 
3
Kim, Y.E., Schmidt, E., and Emelle, L. MoodSwings: A collaborative game for music mood label collection. In Proc. 9th Intl. Conf. on Music Information Retrieval (Philadelphia, September 14-18). 231--236, 2008.
 
4
Lamere, P. Social tagging and music information retrieval. Journal of New Music Research. 37(2):101--104, 2008.
 
5
Law, E., von Ahn L., Dannenberg, R., and Crawford M. TagATune: a game for music and sound annotation. In Proc. 8th Intl. Conf. on Music Information Retrieval (Vienna, September 23-27). 361--364, 2007.
 
6
Law, E., Mityagin, A., and Chickering, M. Intentions: A game for classifying search query intent. In submission.
 
7
Lee, B. and von Ahn, L. Squigl: A Web game to generate datasets for object detection algorithms. In submission.
 
8
Ma, H., Gupta, A., and Chandrasekar, R. Page hunt, page race and page match: using competitive and collaborative games to improve Web search and understand user behavior. In submission.
 
9
Mandel, M. and Ellis, D. A Web-based game for collecting music metadata. Journal of New Music Research. 37(2):151--165, 2009.
 
10
Mityagin, A. and Chickering, M. PictureThis. http://club.live.com/Pages/Games/GameList.aspx?game=Picture_This
 
11
 
12
Turnbull, D., Liu, R., Barrington, L., and Lanckriet, G. A game-based approach for collecting semantic annotations of music. In Proc. 8th Intl. Conf. on Music Information Retrieval (Vienna, September 23-27). 535--538, 2007.
 
13
14
15
 
16
Weinberger, D. How tagging changes peoples relationship to information and each other. Pew Internet&American Life Project. http://www.pewinternet.org/ pdfs/PIP_Tagging.pdf