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Jianheng Guo

User Experience Design

Key insights and opportunities

Three insights were identified by using affinity diagramming:

People don’t know what mysophobia is. The “uncommon” behaviour will be classified as “abnormal” behaviour, which leads to the sufferers suppress their feelings and pretend to be non-sufferers.

Most people’s fear of bacteria stems from uncertainty. To avoid the bacteria carried by others, sufferers tend to avoid social activities or make rules for others which leads to the misconception that sufferers are hostile to others.

People around sufferers hardly talk with sufferers about their living habits. They only observe and get used to each other’s living habits. This process is long and always causes psychological pressure on sufferers, and it may lead to other psychological diseases, such as social phobia.

Design iteration

The researchers conducted four Co-design sessions with participants and produced 23 concepts.

After determining the final concept, the researchers created a paper prototype to test its feasibility.
Then, low fidelity and high fidelity prototypes were developed and tested on Figma.

All tests on the projector are tested through video calls or in family members.

Final design — Journey 1

Use a questionnaire to help users and sufferers understand their differences in living habits.

Final design — Journey 2

When the user sent up the projector, bacteria-shaped lights will appear.
Following the instruction of the app, the user needs to put on the tainted glasses.
When the user looks at the lights for a little while, the instruction will ask the user to take off the glasses.
And a lot of red lights appear which visualize sufferers’ thinking.
Then they just need to put the projector where the living habit differences happened. So, when the user sees the lights, they can realize that the lights represent the bacteria. So, they can remember what to do but also get empathy gradually.

Final design — Journey 3

The density and the brightness of lights will decrease automatically based on the forgetting curve. When the memory retention drops to 80%, a message will be sent to users. When users remember the living habit differences, the density and the brightness of lights will decrease. At last, when it develops to long-term memory, users can hardly see the lights. So, they can delete the living habit differences.

Jianheng Guo

Everything I do is for fun :)

Major project

Help people get empathy with mysophobia sufferers