Case Study

Wave

A wristband to reduce body check behaviour for anorexia nervosa population

01

Overview

For a class project on health and well-being, I aimed to design a product to help people with anorexia nervosa (AN) reduce body check behaviour. In 8 weeks, I gathered user needs, applied psychology theories, and designed and reiterated Wave wristband.

Tools
Python · Figma · Arduino
Role
UX researcher & UI designer
Year
2026
02

Problem, Outcome & Procedure

Problem

Body check behaviours validate beliefs about one's body, deepening unhealthy mindsets and self-harm behaviours. No existing product effectively reduces body checks.

Outcome

A wristband that detects and intervenes in ongoing body check, while strengthening users' motivation to reduce the habit.

Procedure

Understanding users and psychology theories shaped a wristband that reduces body check behaviour without triggering users.

03

Research Insights

I gathered users' needs by analysing Reddit posts containing "body check" in an AN subreddit. Body check behaviours included feeling one's own bones and measuring body parts with hands.

Demotivate body check

Use education and cognitive restoration to gradually reduce motivations.

Break body check habits

Monitor and intervene in real-time body check intentions or behaviours.

Reduce negative feelings

Soothe negative emotions and promote positive thoughts about the self.

Wave behavioural personas and research insights
04

Ideation & Prototyping

To induce behaviour change for users with different goals and pain points, I analysed users' goals and motivations using the Transtheoretical Model. Within the same detection + reminder frame, I twisted the interaction flow to target different users. Users can shift between stages according to their current body check status.

Wave strategy mapping and design rationale table

Meet Wave

Wave is a wristband that detects and intervenes in body check behaviour and consolidates users' motivations to reduce body check habits.

05

Behaviour-Change Design Strategies

Wave adaptive onboarding UI

Feature 1 - Adaptive Onboarding

Research Insight

People experiencing anorexia nervosa have different levels of awareness, motivation, and readiness to reduce body-checking behaviours. A single intervention cannot effectively support users throughout their recovery journey.

Design Decision

Wave allows users to regularly update their attitudes towards body checking. The system adapts reminder frequency and detection sensitivity to better match users' current stage of recovery.

Expected Benefit

Personalising the intervention helps reduce frustration, supports long-term engagement, and ensures the system remains relevant as users' needs change.

Wave behaviour detection flow

Feature 2 - Behaviour Detection

Research Insight

Body checking often becomes an automatic habit, making it difficult for users to recognise or interrupt the behaviour before it happens.

Design Decision

Wave detects body-checking gestures through wrist movement and immediately delivers haptic feedback alongside supportive prompts. Users can also self-report urges to body check.

Expected Benefit

Timely intervention increases users' awareness of habitual behaviours and creates opportunities to interrupt the habit before it becomes automatic.

Feature 3 - Supportive Messages

Research Insight

Reducing body-checking behaviours can be emotionally challenging, and purely corrective feedback may increase stress or feelings of failure.

Design Decision

Wave delivers supportive prompts that encourage reflection, self-awareness, and positive reinforcement whenever body-checking behaviour or urges are detected.

Expected Benefit

A compassionate communication style helps users feel supported throughout recovery, promoting sustainable behaviour change rather than short-term compliance.

06

Next Step

If given another month, I would:

Detection accuracy

Evaluate wearable prototypes in realistic use contexts.

Longitudinal testing

Understand behaviour change over time through longer studies.

Clinical perspective

Explore clinicians' views on intervention appropriateness.

Trust in adaptation

Assess users' trust in adaptive intervention strategies.

07

Reflection

Habit Formation

Designing for behaviour change is challenging. This project targets the most critical moment in the habit loop.

Wearable Data Privacy

Wearables collect detailed embodied data. Users need clear boundaries, transparency, and control over sharing.

Behaviour Over Time

Motivation changes over time. Good design should respond gently through stages of the interaction cycle.

Let's work together

Always happy to chat about research, design, or a good mystery.

Get in touch loriyanglyly0310@gmail.com 07423 719572 Resume LinkedIn