How Loot-Box Dark Patterns Cause Service Failure and Erode Player Trust in Games

This paper proposes that loot-box dark patterns should be understood as a service failure that erodes player trust and game attitude, not only as a gambling-like or social harm. The authors argue that most players who dislike loot boxes are ordinary consumers rather than problem gamblers, and that their negative experiences (worthless duplicates, opaque odds, pressured limited-time offers) constitute consumer harm. The central thesis is that the loot box can be modeled as a bundle of six dark-pattern dimensions (currency obfuscation, probability opacity, false scarcity, sunk-cost pressure, variable-reward framing, and pay-to-win) that trigger cognitive appraisals of manipulation and unfairness, along with negative emotions such as frustration, regret, and betrayal. These in turn are hypothesized to reduce service trust and game attitude, which then shape continuance, spending, and recommendation intentions.

The study is a planned cross-sectional online survey of approximately 300 adult game players in China who opened a loot box within the past six months. Respondents anchor their answers to a single self-nominated reference game drawn from the top 16 loot-box titles in China, and problematic gamers are excluded using the PGSI-SF index. The analysis will use partial least squares structural equation modeling, testing a stimulus-organism-response model with six hypotheses. The paper notes that data collection and analysis were to be completed before the conference, so it presents the model and design rather than empirical results.

The contributions claimed are conceptual, theoretical, and practical. Conceptually, the work complements the dominant problem-gambling lens with a consumer-trust framing. Theoretically, it integrates the cognitive route from marketing research on dark patterns with the affective route from gambling psychology under a single service-failure account. Practically, the authors suggest the findings can inform publisher and regulator decisions and show firms the trust and loyalty losses that exploitative monetization may generate.