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Losing a Private Sphere? A Glance on the User Perspective on Privacy in Connected Cars

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Abstract

Connectivity is one of the major prerequisites of automated driving. Enabled by numerous connected sensors, new cars offer new functionalities, provide higher security levels and promise to enhance the comfort of travelling. However, by connecting a vehicle with its environment, the car becomes more transparent. The integration of the car into a smart grid seems to conflict with the users’ expectation of their car as a private retreat, thus reducing the acceptance and usage adoption of connected cars. This article aims at helping developers and engineers to consider the user’s expectations when designing a connected car. Furthermore, this article reviews and compares recent international surveys on user’s privacy with our own results on the user’s attitude towards connected vehicular services.

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References

  • Benedettini O et al (2009) State-of-the-art in integrated vehicle health management. Proc Inst Mech Eng Part G J Aerosp Eng 223(2):157–170

    Article  Google Scholar 

  • Chen L, Englund C (2016) Cooperative intersection management: a survey. IEEE Trans Intell Transp Syst 17(2):570–586

    Article  Google Scholar 

  • Chui KT et al (2016) An accurate ECG-based transportation safety drowsiness detection scheme. IEEE Trans Ind Inf 12(4):1438–1452

    Article  Google Scholar 

  • De Winter JC et al (2014) Effects of adaptive cruise control and highly automated driving on workload and situation awareness: a review of the empirical evidence. Trans Res Part F Traffic Psychol Behav 27:196–217

    Article  Google Scholar 

  • Dokic J et al (2015) European roadmap smart systems for automated driving. European Technology Platform on Smart Systems Integration, EPoSS. http://www.smart-systems-integration.org/public/news-events/news/eposs-roadmap-smart-systems-for-automated-driving-now-published

  • Dotzauer M et al (2015) Behavioral adaptation of young and older drivers to an intersection crossing advisory system. Accid Anal Prev 74:24–32

    Article  Google Scholar 

  • Derikx S et al (2016) Can privacy concerns for insurance of connected cars be compensated? Electr Mark 26(1):73–81

    Article  Google Scholar 

  • Dinev T, Hart P (2006) An extended privacy calculus model for e-commerce transactions. Inf Syst Res 17(1):61–80

    Article  Google Scholar 

  • Elia J (2009) Transparency rights, technology, and trust. Ethics Inf Technol 11(2):145–153

    Article  Google Scholar 

  • Endo T et al (2016) Study on privacy setting acceptance of drivers for data utilization on connected cars. In: 14th Annual conference on privacy, security and trust (PST), pp 82–87

    Google Scholar 

  • Eriksson L, Bjørnskau T (2012) Acceptability of traffic safety measures with personal privacy implications. Trans Res Part F Traffic Psychol Behav 15(3):333–347

    Article  Google Scholar 

  • Eyssartier C (2015) Acceptability of driving an equipped vehicle with drive recorder: the impact of the context. IET Intel Trans Syst 9(7):710–715

    Article  Google Scholar 

  • Gardner B, Abraham C (2007) What drives car use? A grounded theory analysis of commuters’ reasons for driving. Trans Res Part F Traffic Psychol Behav 10(3):187–200

    Article  Google Scholar 

  • Huang SC et al (2016) Smart Car. IEEE Comput Intell Mag 11(4):46–58

    Article  Google Scholar 

  • Jensen M et al (2016) Datenschutz im Fahrzeug der Zukunft: vernetzt, autonom, elektrisch, In: Lecture Notes in Informatics, p 441

    Google Scholar 

  • Kang J, Hustvedt G (2014) Building trust between consumers and corporations: the role of consumer perceptions of transparency and social responsibility. J Bus Ethics 125(2):253–265

    Article  Google Scholar 

  • Li S et al (2011) Model predictive multi-objective vehicular adaptive cruise control. IEEE Trans Control Syst Technol 19(3):556–566

    Article  Google Scholar 

  • Müller A et al (2017) Einflussfaktoren auf die Akzeptanz des automatisierten Fahrens aus der Sicht von Fahrerinnen und Fahrern, In: 8. Darmstädter Kolloquium 7/8. März 2017 Technische Universität Darmstadt, 1

    Google Scholar 

  • Papadimitratos P et al (2009) Vehicular communication systems: enabling technologies, applications, and future outlook on intelligent transportation. IEEE Commun Mag 47(11):84

    Article  Google Scholar 

  • Petter S et al (2012) The past, present, and future of IS success. J Assoc Inf Syst 13(5):341

    Google Scholar 

  • Pohl J et al (2007) A driver-distraction-based lane-keeping assistance system. Proc Insti Mech Eng Part I J Syst Control Eng 221(4):541–552

    Article  Google Scholar 

  • Rebolledo-Mendez G et al (2014) Developing a body sensor network to detect emotions during driving. IEEE Trans Intell Transp Syst 15(4):1850–1854

    Article  Google Scholar 

  • Schmidt A et al (2010) Driving automotive user interface research. IEEE Pervas Comput 9(1):85–88

    Article  Google Scholar 

  • Schoettle B, Sivak M (2014) A survey of public opinion about connected vehicles in the US, the UK, and Australia. ICCVE 687–692:2014

    Google Scholar 

  • Sheller M (2004) Automotive emotions feeling the car. Theory Culture Soc 21(4–5):221–242

    Article  Google Scholar 

  • Steg L (2009) Car use: lust and must Instrumental, symbolic and affective motives for car use. Trans Res Part A Policy and Pract 39(2):147–162

    Google Scholar 

  • Tene O, Polonetsky J (2013) Big data for all: Privacy and user control in the age of analytics. Nw J Tech Intell Prop 11(5):239–273

    Google Scholar 

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Correspondence to Jonas Walter .

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Walter, J., Abendroth, B. (2018). Losing a Private Sphere? A Glance on the User Perspective on Privacy in Connected Cars. In: Zachäus, C., Müller, B., Meyer, G. (eds) Advanced Microsystems for Automotive Applications 2017. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-319-66972-4_20

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  • DOI: https://doi.org/10.1007/978-3-319-66972-4_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66971-7

  • Online ISBN: 978-3-319-66972-4

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