The Consistency of Gamification User Types: A Study on the Change of Preferences over Time
summary
A two-phase online survey with a pilot, attention check, and an extra teen dataset collects 118 valid responses and repeats measures after six months. Results show 72% change over six months, with gamers and weekly players shifting less. Analysis finds Achievers least stable, Players most stable among Hexad types, philanthropists stay stable within intrinsic motives, and several cross-scale predictions emerge (e.g., achiever → higher free-spirit later, philanthropist → higher socializer). Recommendations: dynamic, context-aware profile modeling.
AI-written summary · about
related talks
20mImproving The Efficacy Of Games for Change Using Personalization Models
06mHexArcade: Predicting Hexad User Types By Using Gameful Applications
03mInvestigating the Implementation and Effects of Personalized Gamification in Education
22mPersonalizing Persuasive Strategies in Gameful Systems to Gamification User Types
05mThat’s the way I (dis-)like it! – Effect of Gamer Types and Competitiveness in VR Exergaming
34mGames ≠ Subjective: How to craft engaging experiences by knowing your players
34mNon player types: who is not playing and why
19mGamification for Self-Tracking: From World of Warcraft to the Design of Personal Informatics Systems