@misc{8997,
  author = {Michael Riegler and Ragnhild Eg and Mathias Lux and Markus Schicho},
  title = {Mobile Picture Guess: A Crowdsourced Serious Game for Simulating Human Perception},
  abstract = {In this paper we present a novel idea that combines a mobilegame with a Crowdsourcing campaign. The game is designed for studiesinto the visual saliency of image segments, where the game objective isfor players to guess what is depicted in an image that is gradually uncovering.Game scores depend on the number of correct answers and thespeed at which these are provided. With these game mechanics, we candetermine the image segments that are most essential to players whenasked to guess the image content, thereby assessing the most salientimage regions. Through the combination of this game scenario and aCrowdsourcing campaign, we also present a way to tackle the rising demandsfor higher salaries in this line of work. By providing workers withan entertaining task, we aim to increase player motivation and hopefullymake them want to play longer than required. In this paper we alsopresent a sample study that evaluates the visual saliency of 200 animalimages from Flickr. We conclude with preliminary results from the studyand with our insights on how this approach can be applied},
  year = {2014},
  journal = {Proceedings of the International Workshop on Social Media for Crowdsourcing and Human Computation},
  month = {10/2014},
  publisher = {Springer},
}