@inproceedings{kumaran2012doodling,
author = {Kumaran, A and Jauhar, Sujay Kumar and Basu, Sumit},
title = {Doodling: A Gaming Paradigm for Generating Language Data},
booktitle = {Proceedings of the 4th Human Computation Workshop (HComp 2012)},
year = {2012},
month = {July},
abstract = {With the advent of the increasingly participatory Internet and the growing power of  the crowd, “Serious Games” have proven to be a fertile approach for gathering task-specific natural language data at very low cost. In this paper we outline a game we call Doodling, based on the sketch-and convey metaphor used in the popular board game Pictionary® 2, with the goal of generating useful natural language data. We explore whether such a paradigm can be successfully extended for conveying more complex syntactic and semantic constructs than the words or short phrases typically used in the board game. Through a series of user experiments, we show that this is indeed the case, and that valuable parallel language data may be produced as a byproduct. In addition, we explore extensions to this paradigm along two axes – going online (vs. face-to-face) and going crosslingual. The results in each of the sets of experiments confirm the potential of Doodling game to generate data in large quantities and across languages, and thus provide a new means of developing data sets and technologies for resource-poor languages.},
publisher = {AAAI Press},
url = {http://approjects.co.za/?big=en-us/research/publication/doodling-gaming-paradigm-generating-language-data-2/},
}