Self-ordering kiosks (SOKs) are widely deployed in fast food restaurants, transforming food ordering into digitally mediated, self-navigated interactions. While these systems enhance efficiency and average order value, they also create opportunities for manipulative interface design practices known as dark patterns. This paper presents a structured audit of the McDonald's self-ordering kiosk in Germany using the Temporal Analysis of Dark Patterns (TADP) framework. Through a scenario-based walkthrough simulating a time-pressured user, we reconstructed and analyzed 12 interface steps across intra-page, inter-page, and system levels. We identify recurring high-level strategies implemented through meso-level patterns such as adding steps, false hierarchy, bad defaults, hiding information, and pressured selling, and low-level patterns including visual prominence, confirmshaming, scarcity framing, feedforward ambiguity, emotional sensory manipulation, and partitioned pricing. Our findings demonstrate how these patterns accumulate across the interaction flow and may be amplified by the kiosk's linear task structure and physical context. These findings suggest that hybrid physical--digital consumer interfaces warrant closer scrutiny within emerging regulatory discussions on dark patterns.

翻译：自助点餐机在快餐店中广泛部署，将点餐行为转变为数字媒介主导、用户自主导航的交互过程。尽管这些系统提升了效率和平均订单价值，但也为被称为暗黑模式的操纵性界面设计实践创造了机会。本文采用时间性暗黑模式分析框架，对德国麦当劳自助点餐机进行了结构化审计。通过模拟时间紧迫用户的场景式走查，我们重构并分析了涵盖页面内、页面间及系统层面的12个界面步骤。我们识别出通过中层模式（如增加步骤、虚假层级、不良默认设置、信息隐藏和压力销售）实现的高层策略，以及包括视觉突显、确认羞辱、稀缺性框架、前馈模糊性、情感感官操纵和分割定价在内的底层模式。我们的研究结果表明，这些模式如何在交互流程中累积，并可能因点餐机的线性任务结构和物理环境而被放大。这些发现表明，在关于暗黑模式的新兴监管讨论中，混合物理-数字消费者界面值得更密切的审视。