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In recent years, different studies have proposed and validated user models(e.g., Bartle, BrainHex, and Hexad) to represent the different user profiles ingames and gamified settings. However, the results of applying these user modelsin practice (e.g., to personalize gamified systems) are still contradictory.One of the hypotheses for these results is that the user types can change overtime (i.e., user types are dynamic). To start to understand whether user typescan change over time, we conducted an exploratory study analyzing data from 74participants to identify if their user type (Achiever, Philanthropist,Socialiser, Free Spirit, Player, and Disruptor) had changed over time (sixmonths). The results indicate that there is a change in the dominant user typeof the participants, as well as the average scores in the Hexad sub-scales.These results imply that all the scores should be considered when defining theHexad's user type and that the user types are dynamic. Our results contributewith practical implications, indicating that the personalization currently made(generally static) may be insufficient to improve the users' experience,requiring user types to be analyzed continuously and personalization to be donedynamically.

Do people's user types change over time? An exploratory study