I’m almost done with the alpha release of my project, a web proxy that helps people with disabilities use the web using head tracking:
The problem is that I need to be able to collect some fairly personal information when someone submits a bug. This data is important to know, because it will help me train the machine better. I could automate this by asking people to submit a screenshot (including their face) and just pass it through a machine learning model for inference.
There are a few issues with this, some potentially legal:
- I would have to store photos of people somewhere. My initial target audience are people with the most severe disabilities (ex, those who have suffered a stroke or tetraplegia) so on top of dealing with sensitive information I have to be mindful of 508 regulations etc
- I would have to develop a model to infer this data, and I’m overloaded as it is
- I have no income, so I wouldn’t have the means of storing this data anyways (I suppose I could use Firebase storage or AWS)
- The number of people willing to submit bugs will be lower, thus everyone’s overall experience is diminished
Therefore, instead of dealing with all that I’ll just ask users to answer a questionnaire. My method is by creating a bunch of checkboxes with Emojis.
TL:DR; Is this form politically correct and if not and how can I improve it?
In order to improve the accuracy of our computer vision models, please answer as many of the following as honestly as you can. This information is not shared with anyone nor is it collected long term (not even in aggregate), and is deleted once the ticket is resolved.
What environment are you in:
What was the expected outcome? ___________
What actually happened? ___________