TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Bossauer, Paul
A1  - Neifer, Thomas
A1  - Stevens, Gunnar
A1  - Pakusch, Christina
T1  - Trust versus Privacy: Using Connected Car Data in Peer-to-Peer Carsharing
T2  - CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, April 25–30, 2020, Honolulu, HI, USA
N2  - 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.
KW  - Privacy
KW  - carsharing
KW  - connected car
KW  - Peer-to-Peer
KW  - Trust
SN  - 978-1-4503-6708-0
SB  - 978-1-4503-6708-0
U6  - https://doi.org/10.1145/3313831.3376555
DO  - https://doi.org/10.1145/3313831.3376555
SP  - 1
EP  - 13
PB  - Association for Computing Machinery
CY  - New York, NY, United States
ER  -