"By using this service you agree to be filmed. If you do not agree, feel free to use an alternative". Seems like it would work as nobody is forced to Uber, no?
I'm not saying that this is the outcome people want, BTW. Just that it could be the one they get.
Maybe statistics can help. If a uber driver is a “vomit scammer” he’s doing this multiple times, deviating too much from the normal, even if taking into account factors like being late hours, next to a club/pub, etc.
Uber can then kick this driver out or, giving the benefit of the doubt, limit the number of “cleaning reimbursements” to force the driver to find better passengers (stay away from nightlife rides?).
Uber can easily compare image hashes so no image of vomit can be used for more than one claim. That should keep out less technically savvy fraudsters.
They could also demand a scan of a receipt from a cleaning place, and then verify via GPS traces that the driver actually went to the place after the supposed incident but before taking the next ride.
Uber should also make a notification or popup for the customer if they are charged extra after a ride. An "appeal" should be possible from the notification.
How about just require a photo upload and then look at the photo's metadata (time, date, GPS, etc) to match it up with the data they already have (i.e. where the driver is)?
Maybe built in the camera directly into the app so that the drivers don't have the ability to fake an image's metadata.
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[ 3.3 ms ] story [ 40.3 ms ] threadI'm not saying that this is the outcome people want, BTW. Just that it could be the one they get.
They could also demand a scan of a receipt from a cleaning place, and then verify via GPS traces that the driver actually went to the place after the supposed incident but before taking the next ride.
Uber should also make a notification or popup for the customer if they are charged extra after a ride. An "appeal" should be possible from the notification.
Maybe built in the camera directly into the app so that the drivers don't have the ability to fake an image's metadata.