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Privacy by Design: Survey on Capacitive Proximity Sensing as System of Choice for Driver Vehicle Interfaces

Frank, Sebastian ; Kuijper, Arjan (2020):
Privacy by Design: Survey on Capacitive Proximity Sensing as System of Choice for Driver Vehicle Interfaces.
In: Proceedings : CSCS 2020 : ACM Computer Science in Cars Symposium,
ACM, CSCS '20: Computer Science in Cars Symposium, virtual Conference, 02.12.2020, ISBN 978-1-4503-7621-1,
DOI: 10.1145/3385958.3430474,
[Conference or Workshop Item]

Abstract

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.

Item Type: Conference or Workshop Item
Erschienen: 2020
Creators: Frank, Sebastian ; Kuijper, Arjan
Title: Privacy by Design: Survey on Capacitive Proximity Sensing as System of Choice for Driver Vehicle Interfaces
Language: English
Abstract:

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.

Title of Book: Proceedings : CSCS 2020 : ACM Computer Science in Cars Symposium
Publisher: ACM
ISBN: 978-1-4503-7621-1
Uncontrolled Keywords: Capacitive proximity sensing, Privacy enhancing technologies, Automotive industries, Surveys
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
20 Department of Computer Science > Mathematical and Applied Visual Computing
Event Title: CSCS '20: Computer Science in Cars Symposium
Event Location: virtual Conference
Event Dates: 02.12.2020
Date Deposited: 16 Mar 2021 07:58
DOI: 10.1145/3385958.3430474
Additional Information:

Art.No.: 06

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