To brainstorm dissertation ideas, I listed current world topics alongside key design concepts and used Affinity Mapping to link them together. I dropped 'Colour Theory' when it didn't align well with any major issues, swapping it for Ethical Design and Sustainability instead.


Initially, three topic pairs caught my interest: Aging Population & Tech, Neurodiversity & Accessibility, and Entertainment & Dark Patterns. After reading a few articles on the first two, I couldn't find a clear angle to write about. I decided to narrow down the third idea to Dark Patterns in E-Commerce, since 'Entertainment' felt too broad and I preferred focusing on shopping over gaming.



My lecturer suggested creating a Miro board to map out my research. I used it to look deeper into dark patterns and collect real-world examples. I had experienced these patterns before, but I didn't realise until now that they are intentional design choices made to manipulate users.
https://miro.com/app/board/uXjVHhiplMw=/?share_link_id=419308305982
Through reading various articles, I uncovered the different categories and UI techniques that make up dark patterns. I learned how these tactics are specifically designed to trick users, enticing people to spend more money or perform actions they otherwise wouldn't.
After categorising the recurring themes, I narrowed it down to five potential areas I could write about: Roach Motel, Checkout Sneaking, Confirm-shaming, Visual Misdirection and Fake Urgency.
To help me brainstorm a title and research question, I wrote one for each topic. Once I noticed the overlap between them, I brought them together into a combined title and research plan.
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Title: Deceptive UX: How E-Commerce Dark Patterns Manipulate Online Shoppers
Question: How do dark patterns trick online shoppers into making unintended decisions and how do these tactics impact customer trust?
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Finally, I used this to help structure my dissertation. As I wasn't entirely sure what to include yet, I used Gemini to give me a simple layout that I could follow and refine.
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Potential Structure
1. Introduction (~450 words)
2. Literature Review (~850 words)
3. Methodology (~450 words)
4. Results (~1,450 words)
5. Discussion (~450 words)
6. Conclusion (~350 words)