I wonder what might be more formal ways to extract such mental models.
1. Most people have been exposed to some sort of a computing device in their lifetimes, if that experience had enough UI/UX to support what the user wants from the new platform/os then a new UI/UX start with that, no matter how "ugly" it looked. Maybe give the option to make the desktop os windowing and nav look just like the mobile OS, if the user knows the latter, so that challenged users can just start cold if they know the other. This could solve problems like: Most people know how to do attachments on one platform do not know how to do it on the other.
2. If one does not have any mental model you could gamify it and reward the user for learning a UI/UX and decrease the reward over time as the user gets better.
3. Too many times people forget compound actions e.g. publising an ad on Facebook or knowing how
to do 2 fac auth. A strong voice driven navigator could aid in overcoming discovery difficulties, it would know how to do X and the user knows what(X) they want. Ideally since these things are done in a sequence, sequence models like LSTMs could learn what trips up people the most and it would reflect ones own mental model.
1. Most people have been exposed to some sort of a computing device in their lifetimes, if that experience had enough UI/UX to support what the user wants from the new platform/os then a new UI/UX start with that, no matter how "ugly" it looked. Maybe give the option to make the desktop os windowing and nav look just like the mobile OS, if the user knows the latter, so that challenged users can just start cold if they know the other. This could solve problems like: Most people know how to do attachments on one platform do not know how to do it on the other.
2. If one does not have any mental model you could gamify it and reward the user for learning a UI/UX and decrease the reward over time as the user gets better.
3. Too many times people forget compound actions e.g. publising an ad on Facebook or knowing how to do 2 fac auth. A strong voice driven navigator could aid in overcoming discovery difficulties, it would know how to do X and the user knows what(X) they want. Ideally since these things are done in a sequence, sequence models like LSTMs could learn what trips up people the most and it would reflect ones own mental model.