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

Explanation: This dissertation topic examines how user interface design, language, and interaction patterns affect both users’ understanding of data practices (comprehension) and their actual behavior in granting or withholding consent (compliance) within data‑intensive services (e.g., social platforms, health apps, IoT ecosystems). Core questions include: Which design elements (notice placement, progressive disclosure, plain‑language summaries, visuals, defaults) improve accurate mental models of what data is collected and why? How do friction, nudges, and choice architecture influence consent rates and the meaningfulness of consent? How do regulatory frameworks (GDPR, ePrivacy) constrain and guide design choices? The project can combine usability testing, A/B experiments, cognitive measures (comprehension quizzes, recall), and legal/policy analysis to evaluate trade‑offs between clarity, cognitive load, and business goals. Outcomes would offer evidence‑based design patterns and ethical guidelines to help services obtain informed, voluntary, and legally robust consent while respecting user autonomy. Suggested methods and sources: - Mixed methods: lab usability testing + field A/B experiments + interviews. - Metrics: comprehension scores, consent rates, time to decision, retention of privacy preferences. - Key references: GDPR text; academic work on privacy notices and consent (e.g., Luger et al., 2013; Obar & Oeldorf-Hirsch, 2018); research on consent UI and dark patterns (Mathur et al., 2019).