Trust versus Privacy: Using Connected Car Data in Peer-to-Peer Carsharing

Privacy by Design & User ControlPrivacy Perception & Decision-MakingDeepfake & Synthetic Media DetectionRidesharing PlatformsConsumers & ShoppersFood Delivery Riders & Ride-Hailing Drivers

Trust is the lubricant of the sharing economy. This is true especially in peer-to-peer carsharing, in which one leaves a highly valuable good to a stranger in the hope of getting it back unscathed. Nowadays, ratings of other users are major mechanisms for establishing trust. To foster uptake of peer-to-peer carsharing, connected car technology opens new possibilities to support trust-building, e.g., by adding driving behavior statistics to users' profiles. However, collecting such data intrudes into rentees' privacy. To explore the tension between the need for trust and privacy demands, we conducted three focus group and eight individual interviews. Our results show that connected car technologies can increase trust for car owners and rentees not only before but also during and after rentals. The design of such systems must allow a differentiation between information in terms of type, the context, and the negotiability of information disclosure.

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https://hci.top/en/papers/chi/32260/2020

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DOI: https://doi.org/10.1145/3313831.3376555
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Source
CHI
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Year
2020
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4 authors
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Subtopics
Privacy by Design & User Control, Privacy Perception & Decision-Making, Deepfake & Synthetic Media Detection, Ridesharing Platforms
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Consumers & Shoppers, Food Delivery Riders & Ride-Hailing Drivers
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Abstract only
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