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（SOKs）已广泛部署于快餐店，将点餐转变为数字媒介化的自助交互过程。尽管这些系统提升了效率与平均订单价值，但它们也为被称为“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（TADP）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化走查，我们重构并分析了页面内、页面间和系统层级的12个界面步骤。我们识别出通过中间层模式（如添加步骤、虚假层级、不良默认设置、信息隐藏与压力推销）实现的重复性高层策略，以及包含视觉突出、确认羞辱、稀缺性框架、前馈歧义、情感感官操纵与分割定价的低层模式。研究结果表明，这些模式在交互流程中累积效应，并可能因点餐机的线性任务结构与物理环境而被放大。这些发现暗示，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审视。