Loria, EnricaRivera, JessicaMarconi, Annapaola2020-12-242020-12-242021-01-05978-0-9981331-4-0http://hdl.handle.net/10125/70772Gamified systems nurture an ulterior goal set by their designers (e.g., a positive behavioral change). Behavioral profiling allows understanding whether users play as intended and reach such a goal. Analyzing in-game behaviors can also highlight unexpected interaction patterns or unengaged users. Current logging systems can track and store any in-game action. However, such high-dimensional data should be carefully processed to retain relevant knowledge while filtering unnecessary noise. Analysts can either aggregate data into a single data point per player or maintain temporal information. This study compares aggregated and temporal behavioral analysis conducted on a gamified system, promoting sustainable mobility (Play\&Go). Results show how, in Play\&Go, aggregated analysis conveys information on long-term winning strategies, whereas temporal analysis describes short-term strategies. Additionally, studying the temporal evolution of players' behaviors emphasizes a sharp division among engaged and unengaged users. We show how aggregated and temporal analysis hold a complementary view of players' experiences.10 pagesEnglishAttribution-NonCommercial-NoDerivatives 4.0 InternationalGamificationgame analyticsgamificationplayer behaviorplayer modelinguser-centered design10.24251/HICSS.2021.160