Do you think a system like Shoeveillance could make everyone happy: maximum data collection and minimum invasion?
Yes. Let’s make everyone happy! Shoeveillence plays with the desire to be seen to some degree. Parading your shoes is a special kind of pleasure, an accepted form of exhibitionism. It is one I would like machines we share the world with to be fluent in. We will have to wait for compliments, though, the appreciation of good shoes is beyond AI today. In HCI (Human Computer Interaction) community, some people speak of ‘shy sensors’, sensors with low-bandwidth input (such as a button) from which you derive information based on the sensor’s location. If you want to know if someone is sitting in a chair without watching them on a camera, for example, you put a button in the chair. Shoeveillence, however, takes in high-bandwidth data (streaming video). It is tamed physically (by its position on the ground and its lens system), disciplined programmatically (by its algorithm) not to notice anything but shoes and incapable of being invasive but geared to be persistently and maximally shoe centri