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

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HCI International 2020 – Late Breaking Papers: Digital Human Modeling and Ergonomics, Mobility and Intelligent Environments (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12429))

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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.

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Authors and Affiliations

  1. Technische Universität Darmstadt, Darmstadt, Germany

    Sebastian Frank

  2. Technische Universität Darmstadt/Fraunhofer IGD, Darmstadt, Germany

    Arjan Kuijper

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Correspondence to Sebastian Frank .

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Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. Purdue University, West Lafayette, IN, USA

    Vincent G. Duffy

  3. Smart Future Initiative, Frankfurt am Main, Germany

    Norbert Streitz

  4. Kyushu University, Fukuoka, Japan

    Shin'ichi Konomi

  5. Ilmenau University of Technology, Ilmenau, Germany

    Heidi Krömker

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Frank, S., Kuijper, A. (2020). Privacy by Design: Analysis of Capacitive Proximity Sensing as System of Choice for Driver Vehicle Interfaces. In: Stephanidis, C., Duffy, V.G., Streitz, N., Konomi, S., Krömker, H. (eds) HCI International 2020 – Late Breaking Papers: Digital Human Modeling and Ergonomics, Mobility and Intelligent Environments. HCII 2020. Lecture Notes in Computer Science(), vol 12429. Springer, Cham. https://doi.org/10.1007/978-3-030-59987-4_5

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