Amoeba is a wearable device that reads the changes in our subconscious parameters to analyze interest levels while we browse through content.


With increasing digital interactions, we are constantly bombarded with vast amounts of data. Going through all this data and organising it is an ardous task. Amoeba aims to make it easier for us to intuitively process this data and presents it through a simple, interactive interface.


Amoeba is the result of an intensive two month group project for my MA/Msc in Innovation Design Engineering.











In collaboration with Carine Colle and Florian Puech

Royal College of Art & Imperial College, London | 2014


Short introduction to our process and vision. For full length video, click here.


How It Works:

​We envision that you would wear the Amoeba device before you start your web-based research. As you go through different webpages, the device senses your bio-data and quantifies your interest. When you are done, you can then go to the Amoeba app and select the keyword you were looking at. The app will show you a time-based summary of all links visited, layering them based on how interesting you found the content. You also have the option of seeing the route you took to arrive at a certain page, thus enabling better reflection and self awareness. 


Video explaining how the Amoeba software works

Interface Development:


The Amoeba System:


System map to illustrate the infrastructure

Technology & Design:


The Amoeba device records biometric parameters while the user is browsing the web. Our rigorous sensory experiments proved that breathing rate, pupil dilation and skin conductance are directly related to a user's interest levels. By detecting the changes in these parameters, the Amoeba software rates content according to interest. A summary of the browsing session is then generated to help the user reflect on his research.

Amoeba device: technologies used

Amoeba in Exhibit:

Images from our exhibit at the WIP Show 2014, Royal College of Art, London

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