Abstract
Over the past decade, videogames have become increasingly gambling-like in their design. Scientific and regulatory attempts to unravel such design seem particularly oriented towards the effects and regulatory treatment of paid-for loot boxes, favoring either measurability or complexity. Departing from gamble-play theory, this paper, therefore, attempts to make complexity measurable in practice. We conduct a formal analysis of 20 videogames that include loot boxes, social casino games, optional gambling-themed activities and token wagering by identifying and mapping interactions between their features. Having uncovered 51 features across 11 categories, we then reinterpret previously established notions of gambling. In doing so, we aim to contribute to a future-proof understanding of gambling in videogames.
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