Your Favorite Gameplay Speaks Volumes About You: Predicting User Behavior and Hexad Type

In recent years, the gamification research community has widely and frequently questioned effectiveness of one-size-fits-all schemes. consequence, personalization seems to be an important part any successful design. Personalization can improved by understanding user behavior Hexad player/user type. This paper comes with original idea: It investigates whether users’ game-related data (collected via various gamer-archetype surveys) used predict their behavioral characteristics types in non-game (but gamified) contexts. The affinity that exists between concepts gaming provided us impetus for running this exploratory research. We conducted initial survey study 67 Stack Exchange users (as a case study). discovered gameplay information could reveal valuable helpful about non-gaming environment. results testing three gamer archetypes (i.e., Bartle, Big Five, BrainHex) show they all help most dominant type better than random labeler’s baseline. That said, analyzed paper, BrainHex performs best. end, we introduce agenda future work.