Smarting App

MbrainTrain is a company that signs the famous Smarting EEG device. Everything is in mobility. They managed to develop fully mobile devices for measuring brain activity out of the lab, in real life.

Although they are mostly satisfied with their Android application that allows mobility and measurement of brain activity, there was space for improvement and they decided to do a redesign.

Project Goal

This type of product is particularly interesting for user testing, and options for motion tracking, eye-tracking, EEG, EMG, GSR, temperature, respiration, video, and more..

It was necessary to make a good system and functionality of various options, and to clearly outline which icon represents a particular option, because the previous application did not have a visual system of functions and icons.

Users & Target Group

The target group is represented by research teams at universities, as well as companies research teams that want to learn more about the behavior of their users or their employees.

Survey & Key Notes from Users

This application is used by Goethe Frankfurt Universitat, Birmingham City University, University of Oxford, and many others, so it was interesting to do a research and hear their opinion about the app.

Survey helped us to learn more about our users needs, and it was necessary to make a good system and functionality of various options, and to clearly outline which icon represents a particular option, because the previous application did not have a visual system of functions and icons.

Challenges

One of the biggest challenges in creating this application was how to make a simple system for using besides so many options in one screen. In addition, it was interesting to create icons for options that do not exist and no one has ever done them before.

Sketches & Wireframe

After first sketches, there were several more versions until we came to a solution with which we could be satisfied, first of all in the field of functionality.

From previous application feedback, we had to solve the confusing signal button action, as well as the ecstatic vagueness of other functions.

User Flow

Based on previous experience and data, we decided to use similar user flow path, but this time with new features and simplified process.

Now, everything is accessible from bottom bar, with clear and recognizable icons, that clearly states their meaning.

Style Guide

The style and direction of the design followed the previous style, which is contained in the existing product. Starting from the logos, the overall style of the software, as well as the physical package.

High Fidelity Design

After we gathered all the information that we needed, deep thinking analyses and many drawn wireframes, we came to the final design, which is by the feedbacks of our users, as well as the internal team of the company, rated the best, we had our prototype.

Prototype Testing & Conclusion

We managed to include ten (10) persons, who agreed to test our final interactive prototype. Our goal was to have 50% of people who already used the previous application, and the other 50% are people who have never used our application before.

Task to perform:

- Record a signal
- Disconnect amplifier
- Setup impedance
- Survey

We got the following results:

- 7 persons say their application design is good
- 2 persons say their application design is acceptable
- 1 person say they do not like the application design
- 8 persons say that the app is really easy to use
- 9 persons say that they understood the visual display of functions and icons
- 8 did not had problems to find impedance
- 1 had a problem to disconnect amplifier
- All subject managed to record a signal