Adaptive approach for gamification optimization

David Codish, Gilad Ravid

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

24 Scopus citations


Gamification solutions today are mostly applied as a single strategy to products and processes (one size fits all approach), thus the engagement and playfulness levels achieved from them are sub-optimal and possibly even negative. Ensuring users are fully engaged in gamification requires that designers understand what motivates users and how different game elements, or combination of elements, address these needs. Measuring engagement through Gamification Analytics (GA) and more importantly being able to act based on this data and modify the implementation in a timely manner if needed, is an important capability that is mostly missing today, and is addresses in the framework proposed in this paper. Since different people are motivated differently, an ideal gamification implementation should be able to perform on-line GA and induce the above modifications, at the user level, taking into account his demographics and personality and creating a personalized gamification experience within the overall gamification solution. We additionally propose a cloud based, open-source database for sharing different game mechanics and dynamics structures.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing, UCC 2014
PublisherInstitute of Electrical and Electronics Engineers
Number of pages2
ISBN (Electronic)9781479978816
StatePublished - 29 Jan 2014
Event7th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2014 - London, United Kingdom
Duration: 8 Dec 201411 Dec 2014


Conference7th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2014
Country/TerritoryUnited Kingdom


  • Adaptive Gamification
  • Gamification
  • Gamification Analytics
  • Personality

ASJC Scopus subject areas

  • Software


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