| I like this idea but I would suggest that you invest some time in some UX validation if you want to maximize the potential usage. I own a SaaS that offers online 3D configurators for outdoor structures [1] since 2014, and tried something similar as a UX experiment a couple of years back; here is the gist of it: We offered 20 different variations on the screen at the same time, and people had to gradually fine-tune their preference by clicking on the one they liked the most. I tested this in the field, and it proved to be very confusing to the end-user, unless you highly constrain the amount of parameters that can change at the same time, and describe to the user what changed and go step by step. In the end I decided to ditch the whole idea in favor of a hard-coded step-by-step wizard where users can adjust the relevant parameters themselves one by one, which tends to work the best for the majority of the users. => My suggestion for you would be to do something similar: highly constrain the potential changes, and guide your user step by step. If you manage to do this, I think you might have gold in your hands. I would also love to challenge the naysayers who say the generated images don't make sense: in my opinion it will only be a matter of time before someone starts training or hardcoding a classifier that invalidates "wrong" images.
(Especially if one would be able to generate a reasonable 3D representation of the image without too much effort.) As someone once said in a random AI video on the internet: "Dear fellow scholars, I wonder what we will be capable of just 2 more papers down the line" [1] ** edit ** removed the URL, check my profile if you really want to know... |