AuthorsM. Riegler, R. Eg, M. Lux and M. Schicho
TitleMobile Picture Guess: A Crowdsourced Serious Game for Simulating Human Perception
Afilliation, Communication Systems
StatusPublished
Publication TypeProceedings, refereed
Year of Publication2014
Conference NameProceedings of the International Workshop on Social Media for Crowdsourcing and Human Computation
Date Published10/2014
PublisherSpringer
Abstract

In this paper we present a novel idea that combines a mobile
game with a Crowdsourcing campaign. The game is designed for studies
into the visual saliency of image segments, where the game objective is
for players to guess what is depicted in an image that is gradually uncovering.
Game scores depend on the number of correct answers and the
speed at which these are provided. With these game mechanics, we can
determine the image segments that are most essential to players when
asked to guess the image content, thereby assessing the most salient
image regions. Through the combination of this game scenario and a
Crowdsourcing campaign, we also present a way to tackle the rising demands
for higher salaries in this line of work. By providing workers with
an entertaining task, we aim to increase player motivation and hopefully
make them want to play longer than required. In this paper we also
present a sample study that evaluates the visual saliency of 200 animal
images from Flickr. We conclude with preliminary results from the study
and with our insights on how this approach can be applied

Citation Key19163

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