~/talk

Improving The Efficacy Of Games for Change Using Personalization Models

Talkat CHI 2018 · 2018-04-21..04-26· [game-development]
name:Rita Orji
links:none on file
links:none on file
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slides:none on file

Built a predictive model from an initial 108-participant study mapping seven gamer types to eight persuasive strategies, then deployed two Junk Food Aliens variants (one emphasizing competition, one emphasizing reward) in a 272-player pre/post control study. Tailored versions that matched a player’s modelled type produced significant positive changes in healthy-eating attitude, intention, and self-efficacy versus contra-tailored versions; contra-tailoring sometimes produced negative change, and improved play experience does not explain the effect.

AI-written summary · about

  1. 0:00Introduction to personalization in games
  2. 2:54Problem with one-size-fits-all games
  3. 4:21Research on gamer types and strategies
  4. 7:10Designing tailored game versions
  5. 9:19Evaluating game efficacy with study
  6. 12:50Mediation analysis of play experience
  7. 14:58Key findings and conclusions
  8. 15:41Q&A session
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