Journal on Data Semantics

, Volume 3, Issue 3, pp 169–188 | Cite as

Modeling CrowdSourcing Scenarios in Socially-Enabled Human Computation Applications

  • Alessandro Bozzon
  • Piero Fraternali
  • Luca Galli
  • Roula Karam
Original Article

Abstract

User models have been defined since the 1980s, mainly for the purpose of building context-based, user-adaptive applications. However, the advent of social networked media, serious games, and crowdsourcing/human computation platforms calls for a more pervasive notion of user model, capable of representing the multiple facets of social users and performers, including their social ties, interests, capabilities, activity history, and topical affinities. In this paper, we define a comprehensive model able to cater for all the aspects relevant for applications involving social networks and human computation; we capitalize on existing social user models and content description models, enhancing them with novel models for human computation and gaming activities representation. Finally, we report on our experiences in adopting the proposed model in the design and implementation of three socially enabled human computation platforms.

Keywords

Crowdsourcing Human computation  User modeling  Social networks Serious games 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Alessandro Bozzon
    • 1
  • Piero Fraternali
    • 2
  • Luca Galli
    • 2
  • Roula Karam
    • 2
  1. 1.Delft University of TechnologyDelftThe Netherlands
  2. 2.Dipartimento di Elettronica e InformazionePolitecnico di MilanoMilanItaly

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