Publikationen

Autor	Frank, Sebastian; Kuijper, Arjan
Datum	2020
Art	Conference Paper
Abstrakt	Physiological properties are recorded everywhere with cameras. They are also used to identify people in public spaces. Vehicle manufacturers also use camera systems in cars. For example, those cameras are used in cars to identify people, measure attention and recognize gestures. Especially the recording of facial images can cause privacy concerns following the GDPR. It is therefore questionable whether the recording of facial car user images corresponds to the paradigm privacy-by-design required by the GDPR. Nonetheless, the car user may not have privacy concerns towards the usage of cameras in vehicles. If customers have privacy concerns, vehicle manufacturers should switch to other systems. One of those systems could be capacitive proximity sensing. But capacitive proximity sensing could cause privacy concerns, too. To assess the privacy concerns of car users, a study is conducted. More than 250 participants are recruited. They are asked to rate their privacy concerns when a camera is used in driver assistance systems. Furthermore, they are asked the same questions concerning capacitive proximity sensing. Additionally, they can choose their preferred system, capacitive proximity sensing or camera. The exploratory study emerged due to three hypotheses of a previous paper. These hypotheses, concerning the user's perception of privacy towards cameras, are tested for the sample. Using the test results, the hypotheses are refined. Based on the analysis of the sample, people have concerns towards cameras in vehicles and prefer capacitive proximity sensing as system of choice.
Konferenz	Computer Science in Cars Symposium (CSCS) 2020
Url	https://publica.fraunhofer.de/handle/publica/410196