Name
Abstract | ||
|---|---|---|
New cars are increasingly "connected" by default. Since not having a car is not an option for many people, understanding the privacy implications of driving connected cars and using their data-based services is an even more pressing issue than for expendable consumer products. While risk-based approaches to privacy are well established in law, they have only begun to gain traction in HCI. These approaches are understood not only to increase acceptance but also to help consumers make choices that meet their needs. To the best of our knowledge, perceived risks in the context of connected cars have not been studied before. To address this gap, our study reports on the analysis of a survey with 18 open-ended questions distributed to 1,000 households in a medium-sized German city. Our findings provide qualitative insights into existing attitudes and use cases of connected car features and, most importantly, a list of perceived risks themselves. Taking the perspective of consumers, we argue that these can help inform consumers about data use in connected cars in a user-friendly way. Finally, we show how these risks fit into and extend existing risk taxonomies from other contexts with a stronger social perspective on risks of data use. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1145/3473856.3473891 | MENSCH AND COMPUTER 2021 (MUC 21) |
Keywords | DocType | Citations |
Usable Privacy, Connected Car, Privacy Awareness, Risk Perception | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Timo Jakobi | 1 | 34 | 8.27 |
| Fatemeh Alizadeh | 2 | 0 | 0.34 |
| Martin Marburger | 3 | 0 | 0.34 |
| Gunnar Stevens | 4 | 433 | 50.81 |