• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Privacy by Design. Analysis of Capacitive Proximity Sensing as System of Choice for Driver Vehicle Interfaces
 
  • Details
  • Full
Options
2020
Conference Paper
Title

Privacy by Design. Analysis of Capacitive Proximity Sensing as System of Choice for Driver Vehicle Interfaces

Abstract
Data collection is beneficial. Therefore, automotive manufacturers start including data collection services. At the same time, manufacturers install cameras for human machine interfaces in vehicles. But those systems may disclose further information than needed for gesture recognition. Thus, they may cause privacy issues. The law (GDPR) enforces privacy by default and design. Research often states that capacitive proximity sensing is better to serve privacy by design than cameras. Furthermore, it is unclear if customers value privacy preserving features. Nonetheless, manufacturers value the customer's voice. Therefore, several vehicular human machine interface systems, with camera or capacitive proximity sensing, are analyzed. Especially concerning gesture recognition, capacitive proximity sensing systems provide similar features like camera-based systems. The analysis is based on the GDPR privacy definition. Due to the analysis, it is revealed that capacitive proximity sensing systems have less privacy concerns causing features. Subsequently, three hypotheses are formulated to capture the customer's voice. Due to analysis results, it is questionable if gesture recognition systems, which utilize cameras, are compliant with privacy by design. Especially since well-known systems like capacitive proximity sensing are available. A survey concerning the hypotheses will give further insights in future work.
Author(s)
Frank, Sebastian
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kuijper, Arjan  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
HCI International 2020 - Late Breaking Papers. 22nd HCI International Conference, HCII 2020. Proceedings  
Conference
International Conference on Human-Computer Interaction (HCI International) 2020  
DOI
10.1007/978-3-030-59987-4_5
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • capacitive proximity sensing

  • Lead Topic: Smart City

  • Research Line: Human computer interaction (HCI)

  • advanced driver assistance systems (ADAS)

  • Capacitive proximity sensors

  • privacy enhancing technologies

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024