@inproceedings{e2b80ba2261640aaa1cb5ee7f4536f91,
title = "Enhancing crowdworkers' vigilance",
abstract = "This paper presents methods for improving the attention span of workers in tasks that heavily rely on their attention to the occurrence of rare events. The underlying idea in our approach is to dynamically augment the task with some dummy (artificial) events at different times throughout the task, rewarding the worker upon identifying and reporting them. The proposed approach is an alternative to the traditional approach of exclusively relying on rewarding the worker for successfully identifying the event of interest itself. We propose three methods for timing the dummy events throughout the task. Two of these methods are static and determine the timing of the dummy events at random or uniformly throughout the task. The third method is dynamic and uses the identification (or misidentification) of dummy events as a signal for the worker's attention to the task, adjusting the rate of dummy events generation accordingly.",
author = "Avshalom Elmalech and David Sarne and Esther David and Chen Hajaj",
note = "Funding Information: The research presented in this paper was partially supported by the Israel Science Foundation (grant No. 1083/13),the ISF-NSFC joint research program (grant No. 2240/15), the Ministry of Science, Technology and Space, Israel with the National Science Council (NSC) of Taiwan, and a Harvard Center for Research on Computation and Society fellowship.; 26th International Joint Conference on Artificial Intelligence, IJCAI 2017 ; Conference date: 19-08-2017 Through 25-08-2017",
year = "2017",
doi = "https://doi.org/10.24963/ijcai.2017/675",
language = "الإنجليزيّة",
series = "IJCAI International Joint Conference on Artificial Intelligence",
pages = "4826--4830",
editor = "Carles Sierra",
booktitle = "26th International Joint Conference on Artificial Intelligence, IJCAI 2017",
}