The FUNii Database: A Physiological, Behavioral, Demographic and Subjective Video Game Database for Affective Gaming and Player Experience Research

The lack of high-quality in-game player data has been a challenge in affective computing and player experience research, as the currently available datasets do not fully capture the multimodal nature of the player-game interaction. The following paper addresses this issue by introducing a multimodal collection of video game player data: the FUNii Database. The database contains in-laboratory physiological, behavioral and subjective data from 190 players acquired while they played Ubisoft's Assassin's Creed: Unity and Assassin's Creed: Syndicate. The database also includes demographic data from the players and Fun Trace ratings, a unique tool for assessing player experience on a continuous scale following a game session. The database offers opportunities to study physio-behavioral responses in a gaming context, player profiling, player experience modeling or adaptation strategies for affective adaptive games.

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