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

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