We introduce our approach for incremental truth inference over the contributions provided by players of Games with a Purpose: we motivate the need for such a method with the specificity of GWAP vs. traditional crowdsourcing; we explain and formalize the proposed process and we explain its positive consequences; finally, we illustrate the results of an experimental comparison with state-of-the-art approaches, performed on data collected through two different GWAPs, thus showing the properties of our proposed framework.
@article{arxiv.1810.10771,
title = {An Incremental Truth Inference Approach to Aggregate Crowdsourcing Contributions in Games with a Purpose},
author = {Irene Celino and Gloria Re Calegari},
journal= {arXiv preprint arXiv:1810.10771},
year = {2018}
}