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Measuring the Effectiveness of Gamesourcing Expert Oil Painting Annotations

  • Myriam C. Traub
  • Jacco van Ossenbruggen
  • Jiyin He
  • Lynda Hardman
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8416)

Abstract

Tasks that require users to have expert knowledge are difficult to crowdsource. They are mostly too complex to be carried out by non-experts and the available experts in the crowd are difficult to target. Adapting an expert task into a non-expert user task, thereby enabling the ordinary “crowd” to accomplish it, can be a useful approach. We studied whether a simplified version of an expert annotation task can be carried out by non-expert users. Users conducted a game-style annotation task of oil paintings. The obtained annotations were compared with those from experts. Our results show a significant agreement between the annotations done by experts and non-experts, that users improve over time and that the aggregation of users’ annotations per painting increases their precision.

Keywords

annotations crowdsourcing expert tasks wisdom of the crowd 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Myriam C. Traub
    • 1
  • Jacco van Ossenbruggen
    • 1
  • Jiyin He
    • 1
  • Lynda Hardman
    • 1
  1. 1.Centrum Wiskunde & InformaticaAmsterdamThe Netherlands

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