We used the Neurosky Mindwave for the project and had it hooked up to our Unity project. We ended up with having a roulette of images and depending on what the user's "meditation" and "attention" values are. When the user blinks, the roulette would spin and display a new image.
An angel image displayed in the system.
We were required to do some usability testing for the project, so this past week we conducted those. The first thing we did was draft up a questionnaire for the participants. There were three parts of the questionnaire: demographics, pre-test and post-test.
Demographics gives us some general information about the participant's background which is useful for interpreting the results of the data. The pre-test and post-test have similar questions, and are designed to see whether or not the iMind system changed them in any way. The post-test also allows the participant to give us feedback on the system.
A screenshot of the post-test.
For each participant, we left them alone while they completed the demographics and pre-test section. This is because we did not want to influence them in any way. Once they completed it, they invited the researcher back in to help them get started with iMind.
The user was then told to go through iMind for as long as they wish, and that they can stop whenever they want. It was interesting seeing the way people went through the system and how they reacted. Some people were more expressive whereas others just sat there silently.
Aaron going through the system.
Afterwards, we left them alone while they did the post-test. The data that we compiled was pretty interesting because we saw that overall the participants felt a positive increase in their emotional state after going through the system. This is good because this is what we were aiming for. If on the other hand we didn't get that result, we would've had to rework the system to ensure that it made people feel good.
Another thing that I thought that was interesting was that for some people the blinking mechanic didn't work. This is because everyone's head is different, so the headset might not have been able to track them. For those that didn't have it working perfectly, they said that was the weakest part of the system. On the other hand, the people who had a good experience with it said it was their favourite part.
Mirza doing some initial testing and data collection.
Overall the feedback on the system was pretty good. I'm pretty excited to present it and to show it to the class.