While well-motivated, the proposed dissertation topic rests on several problematic assumptions and faces practical limitations that weaken its premise and potential contribution.
1. Overemphasis on UX as a Fix for Structural Problems
- The proposal assumes that better interfaces can meaningfully solve privacy harms. In many cases, harms stem from business models (surveillance capitalism), legal gaps, or corporate incentives that UX alone cannot change. Making consent comprehensible does not prevent misuse of data once consent is given, nor does it address coercive defaults or opaque backend practices (Zuboff, 2019).
2. The Trust Goal Is Ambiguous and Potentially Harmful
- "Designing for trust" risks being read as designing to increase perceived trustworthiness rather than actual trustworthiness. This can encourage manipulative polishing of interfaces to mask risky practices (i.e., trust laundering) instead of promoting real accountability. Ethical design should prioritize enabling informed autonomy and control, not merely boosting adoption metrics.
3. Measurement Validity Problems
- Key outcomes proposed (perceived trustworthiness, comprehension, consenting behavior) are difficult to measure reliably and to interpret causally. Users can report higher trust yet behave in ways that expose them to risk; comprehension tests often overestimate real-world understanding because lab settings are artificial. A/B experiments on consent flows may show short-term changes without indicating long-term retention or downstream consequences.
4. Generalisability and Contextual Integrity
- Privacy norms and expectations are highly contextual (Nissenbaum, 2004). A pattern that works in one cultural, legal, or domain context (e.g., healthcare) may be inappropriate in another (e.g., social media). Producing a universal pattern library risks promoting one-size-fits-all solutions that violate contextual integrity.
5. Ethical and Practical Limits of Intervention
- Implementing granular controls and transparent dashboards can create cognitive burdens and decision fatigue, leading users to opt for convenience rather than informed choices. The dissertation risks recommending interventions that shift responsibility onto users instead of advocating for systemic protections like data minimization, stronger regulation, or privacy-by-default.
6. Risk of Superficial Contributions
- Many UX pattern catalogs for privacy already exist. Without a novel theoretical framing or strong empirical innovation (e.g., longitudinal field deployments, access to real-world platforms), the project may produce incremental findings that add limited value to policy or practice.
Conclusion: The topic is important but should be reframed. Rather than aiming to "design for trust" via UX patterns alone, a stronger dissertation would critically examine the limits of UX interventions, compare UX approaches with regulatory and business model remedies, or focus on specific contexts where UX can have demonstrable, ethically sound impact (e.g., consent in emergency telehealth). This reframing mitigates the risk of promoting trust as a cosmetic outcome and situates UX within broader socio-technical constraints.
Selected references
- Nissenbaum, H. (2004). Privacy as contextual integrity.
- Zuboff, S. (2019). The Age of Surveillance Capitalism.
- Barocas, S., & Nissenbaum, H. (2014). On unreasonable expectations of privacy protection.