Nerviz (2015)

We created "Nerviz", an app to collect stress data.

Project Info:
Time: 4 weeks part-time

Yannick Brouwer
Lenka Praxova
Daan Weijers
Stijn Zoontjens

Beautiful Information Products


During my internship at frog design, I worked on various data-centered business platforms designed for professional users. With the rise of connected products for consumers like connected healthcare tools, thermostats and cars, the challenge of creating more accessible data products has become more relevant than ever. I took the master course “Beautiful Information Products” to explore new ways for users to collect and interact with data. With 3 classmates we worked on two assignments of which Nerviz is the first. 


The first assignment was given in collaboration with the data visualization team of Philips Design. We got an open data set with a variety of healthdata about a group of university students. Our team decided to take a very hands-on approach to see what could be done with the data in the dataset, creating several sub-deliverables during the process. We found a set of self-reported stress levels including a location and timestamp and decided to start plotting these on the location of the campus and created a clock to show how the general stress levels vary per hour in the day. 

Some of the mini games we designed to test different abilities during a stressful situation.

After presenting these first prototypes we saw an opportunity to focus more on data collection. Wearables and smartphone apps have made it easier to gain data about daily activity or sleep. But to learn more about people’s mental state you need to ask questions which is a higher threshold for users.

From academic research we learned that their might be a relation between fine motor skills and stress. Inspired by tools like Apple Researchkit and MoodNotes we decided to create an experimental prototype that would gather both smartphone interaction data and self-reported stress levels that could be used in a study to find a possible correlation between the two. We created a fun and light-weight app with various mini-games to test timing, precision and large scale movements after which the user is able to input his current state by means of a slider.

Watch the video of our prototype to learn more about its functionality:

I hope you enjoyed this project.

How about looking at another one below?!