Deception by Design: A Temporal Dark Patterns Audit of McDonald's Self-Ordering Kiosk Flow

2026-03-03

AI Summary

This study investigates how self-service kiosks in fast-food settings employ dark patterns to influence user decisions under time pressure, thereby compromising consumer autonomy. Focusing on temporal dynamics, it applies the Temporal Analysis of Dark Patterns (TADP) framework—adapted here for the first time to hybrid physical-digital interfaces—to conduct a contextual walkthrough and multi-level coding analysis of 12 interaction steps on McDonald’s self-ordering kiosks in Germany. The research identifies recurring dark patterns such as false hierarchies, hidden information, and scarcity messaging, revealing their cumulative effects and contextual amplification within sequential interaction flows. Findings demonstrate that linear task structures and physical environmental constraints intensify the impact of these manipulative designs. The study contributes both empirical evidence and a novel analytical framework to inform regulatory policy on deceptive interface practices.

Technology Category

• Humans and AI: Intelligent User Interfaces
• Natural Language Processing: Ethics — Bias, Fairness, Transparency & Privacy
• Search and Optimization: Evaluation and Analysis

Application Category

• User Modeling, Personalization and Recommendation: Accountability, Transparency, and Ethics for personalization
• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Security and Privacy: Data transparency and provenance

Abstract

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.

Problem

• dark patterns
• self-ordering kiosks
• manipulative design
• temporal analysis
• consumer interfaces

Innovation

• Temporal Analysis of Dark Patterns
• self-ordering kiosks
• dark patterns
• hybrid physical-digital interfaces
• manipulative design