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©2019-2025 Je Hyun Kim

Filter bubble

Personalised recommendation system traps you in your own bubble.

It shows content that reinforces your existing beliefs - an effect known as the filter bubble. Over time, this can contribute to a more polarised world, making it harder for people to encounter, understand, or empathise with opposing viewpoints.

Bridging opinions

How might we design an interface that lets you see the world through someone who is similar to you, but with an opposing POV? What would it look like to experience their perspective as directly as possible?

New recommendation

Experience the opposite from someone just like you. Find someone who is similar to you, and see their opposing viewpoint to understand other opinions.

Like dating apps

Swipe left to find someone who shares your interest. But this time, you get to peak into their recommended contents

Physical activation

When you’re ready to embrace an opposing point of view, you have to show it through a physical interaction. To see the other side, rotate the device—turn it in the opposite direction, as if you’re challenging your own beliefs and ideas. It’s a way of showing you’re open to embrace new ideas by putting that intention into action.

Empathise

While the screen is rotated, you experience recommended content from someone with an opposing POV - stepping directly into their shoes. And once you get used to the other side’s algorithm, you might even have to double check whose feed you’re on - blurring the line between what supports and what challenges your own beliefs.

Next step

This new kind of user interface could change how you browse content across platforms like Youtube, Instagram, and Netflix. It opens the door to broaden perspectives on politics, business, or even your personal interests.

Process

I followed a human-centered design approach, starting with user interviews and testing to guide the research. Digital prototypes, UI mockups, and animations were created in Figma, while the device was handcrafted.

Published

Uncertainty Deconstructed by Springer, 2022

Project Type:

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Academic Solo Project

May 2021 - May 2021 (4-weeks)

AI, ML, UX/UI Design

Ideation, Human Centred Design, User research