Quality-control mechanism utilizing Worker's confidence for crowdsourced tasks

Yuko Sakurai, Tenda Okimoto, Masaaki Oka, Masato Shinoda, Makoto Yokoo

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

We propose a quality control mechanism that utilizes workers' self-reported confidences in crowdsourced labeling tasks. Generally, a worker has confidence in the correctness of her answers, and asking about it is useful for estimating the probability of correctness. However, we need to overcome two main obstacles in order to to use confidence for inferring correct answers. First, a worker is not always well-calibrated. Since she is sometimes over/underconfident, her level of confidence does not always accurately reflect the probability of correctness. In addition, she does not always truthfully report her actual confidence. Therefore, we design an indirect mechanism that enables a worker to declare her confidence by choosing a desirable reward plan from the set of plans that correspond to different confidence intervals. Our mechanism ensures that choosing the plan matching the worker's true confidence maximizes her expected utility.

Original languageEnglish
Pages1347-1348
Number of pages2
Publication statusPublished - Jan 1 2013
Event12th International Conference on Autonomous Agents and Multiagent Systems 2013, AAMAS 2013 - Saint Paul, MN, United States
Duration: May 6 2013May 10 2013

Other

Other12th International Conference on Autonomous Agents and Multiagent Systems 2013, AAMAS 2013
CountryUnited States
CitySaint Paul, MN
Period5/6/135/10/13

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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  • Cite this

    Sakurai, Y., Okimoto, T., Oka, M., Shinoda, M., & Yokoo, M. (2013). Quality-control mechanism utilizing Worker's confidence for crowdsourced tasks. 1347-1348. Paper presented at 12th International Conference on Autonomous Agents and Multiagent Systems 2013, AAMAS 2013, Saint Paul, MN, United States.