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Play for Me: Image Segmentation via Seamless Playsourcing

  • Case study
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The Computer Games Journal

Abstract

Crowdsourcing, the process of gathering financial support or services from an online community, has become extremely popular throughout the last decade. Playsourcing is a particular form of crowdsourcing that requires embedding human intelligence-based tasks in computer games. We present a general framework for embedding tasks such as edge detection into computer games. Our proposed framework is based on Gestalt principles, and is a seamless and invisible means of embedding into existing computer games, which could make such tasks by the player more popular. A case study is presented in order to demonstrate the general principle as well as the potential of this approach.

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Authors and Affiliations

  1. Computer Aided Medical Procedures and Augmented Reality, Fakultät für Informatik, Technische Universität München, Boltzmannstr. 3, Room: MI 03.13.043, 85748, Garching bei München, Germany

    Christoph Hennersperger & Maximilian Baust

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  1. Christoph Hennersperger
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  2. Maximilian Baust
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Correspondence to Maximilian Baust.

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Hennersperger, C., Baust, M. Play for Me: Image Segmentation via Seamless Playsourcing. Comput Game J 6, 1–16 (2017). https://doi.org/10.1007/s40869-016-0030-3

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  • DOI: https://doi.org/10.1007/s40869-016-0030-3

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