This is an example

How will accuracy be assessed?

These headers would stand out better if formatted as bold, or as subheaders

Does there need to be a data labelling step to accomplish this? So the model can learn what a positive signal is

Not clear what sort of model it is -- supervised, unsupervised, classifier, clustering, etc.

More specifics about the model used and how it will be traiend would be helpful here

What parts of the system are being adjusted?

Not clear if referring to INSENSION prototype or novel prototype

Would be helpful to specify what this prototype is

related to other points, but not sure what accuracy means in this context? How will the output from the devices determined to be accurate or inaccurate?

Are the tools providing the analysis, or is this something that will be done by the researchers?

What does effectiveness mean in this context? How will effectiveness be measured?

I think Emilia brought this up on Monday, but could be good to reword this. Something like "seek to summarize the scientific community's understanding of..."

i.e. Survey contributes seek not to just understand per say but compress the body of research and make it accessible

Is this only relevant if the brain waves are significantly different (RQ1)?

It's not clear to me what "comprehend" and "understand" means in this context. What aspect of the brain waves will be better understood? Seems like it could be helpful to establish specific goals connected to this understanding (eg. how brain waves can identify psychological states)

3.3 Reading habit (other)

3.1 Reading habit (frequency)