What are some topics for a final year dissertation relating to UX and technology

Explanation: This dissertation topic examines deceptive or manipulative user-interface designs ("dark patterns") used in mobile applications. Key areas to cover include: - Detection: Methods to identify dark patterns automatically or by audit. Approaches can combine taxonomy development (e.g., confirmshaming, bait-and-switch, hidden costs), manual annotation, heuristic checks, and machine learning on UI screenshots, DOM/metadata, or interaction traces. Evaluate precision, recall, and generalizability across platforms (iOS/Android) and app categories. - User Harm: Empirical investigation of harms caused by dark patterns—financial (unexpected purchases, subscriptions), privacy (coerced data sharing), psychological (stress, reduced autonomy), and behavioral (increased engagement, addiction). Use mixed methods: controlled lab experiments, field studies, user surveys, and analysis of complaint or transaction data to measure prevalence and impact on vulnerable groups. - Regulatory Responses: Survey and critically assess legal and policy frameworks addressing dark patterns (e.g., EU Digital Services Act, GDPR fairness/privacy doctrines, U.K. CMA guidance, U.S. state laws). Examine enforcement challenges, responsibilities of platforms versus app developers, and technical standards for compliance. Propose evidence-based regulatory or design interventions (e.g., mandatory disclosures, UX audits, interface provenance, transparency APIs) and evaluate their likely effectiveness and unintended consequences. Why this is a strong dissertation topic: - Interdisciplinary: combines HCI, ethics, machine learning, law, and empirical social science. - High social relevance: dark patterns affect millions of mobile users and draw regulatory attention. - Feasible methods: datasets can be built from app stores, screen captures, or web crawls; mixed empirical methods allow meaningful results within a year. - Impact: produces actionable recommendations for designers, policymakers, and platform operators. References to consult: - Mathur, A., et al. (2019). "Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites." Proc. CHI. - Gray, C. M., et al. (2019). "The Dark (Patterns) Side of UX Design." Proc. CHI. - European Commission. Digital Services Act and related guidance. - U.K. Competition and Markets Authority (2021). "Online platforms and digital advertising: market study — dark patterns guidance." You can narrow this further (e.g., focus on subscription traps, privacy-related dark patterns, or detection using UI screenshots) depending on your methods and dataset.