Understand perspectives - seeing the information behind them

Inspiration

We started with a simple observation: two people can look at the same event and come away with completely different understandings—not because they are irrational, but because they exist in different information environments.

News sources, social feeds, and recommendation algorithms shape what people see and how they interpret the world. Yet these influences are invisible in everyday conversations.

We asked a simple question:

What if people could see the information landscape around them the same way they sense temperature or sound?

Perspective Lens was inspired by the idea of creating a new form of situational awareness—a way to understand the context behind perspectives rather than simply reacting to them.

What it does

Perspective Lens is an augmented-reality tool that analyzes publicly shared posts and visualizes patterns in the surrounding information ecosystem.

Through a subtle AR interface, users can perceive signals such as:

Ideological distribution of shared sources
Reliability patterns of information sources
Emotional tone of shared content
Diversity of viewpoints in the environment

Instead of labeling individuals, Perspective Lens surfaces content patterns that provide context for conversations.

The goal is simple: inform understanding, not judgment.

How we built it

We built Perspective Lens by combining three main components:

1. Public Content Analysis A pipeline analyzes publicly available posts and extracts patterns related to media sources, tone, and diversity.

2. Information Classification We integrated existing media reliability and bias datasets to estimate credibility and ideological distribution of sources.

3. AR Visualization Layer Insights are displayed through a layered augmented-reality interface:

Ambient mode – subtle visual cues about the surrounding information environment
Quick glance – simple summaries triggered by gaze
Deep view – optional dashboards showing the underlying patterns

This design keeps the experience lightweight and intuitive while still providing transparency.

Challenges we ran into

The biggest challenge was designing insight without enabling misuse.

Tools that analyze social information can easily be interpreted as judging or labeling people. We had to carefully design both the system and the interface to focus on content patterns rather than personal identity.

Another challenge was simplifying complex information ecosystems into signals that users can understand instantly. Media data is messy, and turning it into intuitive visual cues required many iterations.

Finally, we had to think carefully about privacy, consent, and ethical safeguards from the start.

Accomplishments that we're proud of

We’re proud that Perspective Lens shifts the focus from fact-checking individuals to understanding information environments.

Our biggest accomplishments include:

Designing an ambient AR interface that communicates complex data through simple visual signals
Building a system that emphasizes transparency and ethical safeguards
Creating a concept that reframes media literacy as situational awareness

Most importantly, we created a tool designed to encourage curiosity rather than confrontation.

What we learned

This project taught us that building tools around information and trust requires extreme care in framing and design.

Even accurate data can create misunderstanding if it is presented without context.

We also learned how powerful visualization and ambient feedback can be in helping people understand complex systems.

The biggest takeaway: technology should not try to decide what people believe—it should help them better understand the environments shaping those beliefs.