Modeling CrowdSourcing Scenarios in Socially-Enabled Human Computation Applications

Alessandro Bozzon, Luca Galli, Piero Fraternali, Roula Karam

Research output: Contribution to journalArticleScientificpeer-review

13 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)169-188
Number of pages20
JournalJournal on Data Semantics
Volume3
Issue number3
Publication statusPublished - 3 Dec 2013

Keywords

  • Crowdsourcing
  • Human computation
  • User modeling
  • Social networks
  • Serious games

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