← All work
← All work

Research & product design

Humans

Role
Research, design & testing
Collaborators
Nazar Akrami & Robin Bergh, Uppsala University
Platform
Web & app
Method
Affect misattribution procedure (AMP)

Case study

A platform that helps you spot your own hidden biases, and learn how to challenge them.

Project Humans on phones

Introduction

01

Two psychology professors wanted a better way to explore our hidden biases.

I teamed up with two psychology professors at Uppsala University. My job was to research, design and test a new product for the web and phones, built on a well-established test called the affect misattribution procedure (AMP).

Early on, we talked a lot about where bias testing falls short, and about what we saw as real problems with the best-known one, the implicit association test (IAT). I turned all that into a code of ethics for the platform to be built on.

Professor
Professor

Nazar Akrami & Robin Bergh, associate professors of psychology at Uppsala University.

Collaborators

They kept a close eye on the test method, its timing, the images and the articles.

The vibe

02

Old VHS covers meet strict Swiss poster grids.

I wanted it to feel timeless.

Moodboard

Moodboard.

Illustrations

I drew a lot of illustrations: one for each bias the articles cover, plus some for the brand.

Illustrations

Illustration 1
Illustration 5
Illustration 2
Illustration 6
Illustration 3
Illustration 4
Illustration 1
Illustration 3
Illustration 5
Illustration 2
Illustration 4
Illustration 6

AMP

03

A focus point, a priming image, a mask and a target, all in a split second.

After about 50 rounds, a bias may start to show. At the end you see your results and, most importantly, some reading to help make sense of them.

The product

Project Humans on the web
An article on the halo effect
Project Humans app screens
An article on the halo effect
Project Humans on the web
Project Humans app screens

User testing

04

Ten people showed us what it takes before anyone will look at their own biases.

We tested a rough but fully working prototype with 10 people. We picked people with a growth mindset who'd said they were into self-improvement. They taught us to put these first:

Feeling safe and anonymous.

Seeing the professors behind it.

Learning, not judgement.

Conclusion

05

The professors were thrilled. It was far more than they'd expected.

We used what we learned in testing to improve the product.

The project wrapped up well. Last time we spoke, they were looking for someone to build it.

Next →

Next project

Personal project

All work
Repurposing Figma hardware