Wheels in the Head: Ridesharing as Monitored Performance
Ridesharing services offer on-demand rides much like taxicabs, but distinguish themselves from cabs by emphasizing the friendly, social aspect of the in-car interaction. Crucial to the ability of these companies to distinguish themselves from cabs has been the insertion of smartphones as “social interfaces” between drivers and passengers, restructuring social interaction through an allegorithm the productive co-deployment of a socially relevant allegorical script and a software-mediated algorithm). Much of the affective labor of ridesharing drivers consists in maintaining this affective framing and internalizing the logic by which their performances are monitored. In this article the writings of three ridesharing drivers will be drawn on to illustrate the ways drivers develop and evaluate their own performances as ridesharing drivers.
This scholarly article in Surveillance and Society (available as a free PDF) by Donald Nathan Anderson explores the “social interface” as part of driving for Uber and Lyft, and how the companies utilize algorithms to remotely monitor – and ultimately control – the behaviors of drivers and passengers.