KEITH S. KARN
Human Factors in Context LLC
WILLIAM E. HUTSON
Now that they are beyond the initial start-up phase, it is time to take a critical look at ride-hailing systems such as Uber and Lyft. This ethnographic case study investigates these systems from the drivers’ perspectives and also addresses the ethnographic techniques and general approach that we used. Without a protocol, budget or equipment, we interviewed approximately 150 Uber, Lyft, and Taxi drivers in 23 US cities over 2 years during paid rides. Our loosely structured interview approach allowed us to collect information from drivers regarding the entire gamut of their jobs. This included how and why drivers work, their choice of work hours, rider pickups, driving, vehicle ownership and maintenance, rider behavior, perceptions of safety / danger, navigation, general likes and dislikes of the system, and financial matters related to their business. Our findings cover a wide range of issues, some bearing on poorly designed or missing functionality in the driver's...
This paper recounts research into the orientation and mobility experiences of people who are blind or visually impaired, and describes the novel sonic research method I developed for this purpose. “Participant Phonography,” as I call the method, aims to empower research participants with low or no vision through the self-guided creation of sound recordings that represent their experiences of the world in a first-person perspective. More broadly, the paper highlights the inadequate efforts of ethnographers in industry to tackle challenges of disability and reflects on the ethical challenges that face researchers who want to include disabled people in research. Inclusive methods like participant phonography have great potential to break down traditional power structures that have rendered non-normative groups marginal in user research, but these methods also come with substantial barriers to their implementation in a corporate context....
This case study seeks to increase understanding of how agency is fostered in human-AI interaction by providing insight from Uber’s development of a conversational voice-user-interface (VUI) for its driver application. Additionally, it provides user researchers with insight on how to identify agency’s importance early in the product development process and communicate it effectively to product stakeholders. First, the case reviews the literature to provide a firm theoretical basis of agency. It then describes the implementation of a novel in-car Wizard-Of-Oz study and its usefulness in identifying agency as a critical mediator of driver interaction with the VUI before software-development. Afterward, three factors which impacted driver agency and product usage are discussed – conversational agency, use of the VUI in social contexts and perception of the VUI persona. Finally, the case describes strategies used to convince the engineering and product teams to prioritize features to increase agency....
Case Study—One of Uber’s company missions is to make carpooling more affordable and reliable for riders, and effortless for drivers. In 2014 the company launched uberPOOL to make it easy for riders to share their trip with others heading in the same direction. Fundamental to the mechanics of uberPOOL is the intelligence that matches riders for a trip, which can introduce various uncertainties into the user experience. Core to the business objective is understanding how to deliver a ‘Perfect POOL’—an ideal situation where 3 people in the vehicle are able to get in and out at the same time and location allowing for a more predictable and affordable experience. This case study argues that, for a reduced fare and a more direct route, riders are willing to forego the convenience of getting picked up at their door in exchange for waiting and walking a set amount to meet their driver.
This case study explores the integration of qualitative and quantitative research...