User Diverse Privacy Requirements for V2X-Technology - Quantitative Research on Context-based Privacy Aspects

Teresa Schmidt, Ralf Philipsen, Martina Ziefle

2016

Abstract

The paper will show, how different types of users are evaluating privacy and data security differently according to contextual differentiating traffic situations. The focus is hereby on an analysis of user types to see, if general attributes towards data capture can be identified. User requirements are investigated in age, gender, experience with driver assistance systems and technical affinity. Several significant effects like the influence of prior experience increasing the willingness to share data in an traffic optimizing scenario could be revealed. But results show also an undeniable reluctance towards sharing private data with other traffic participants or companies. Traffic management such as police or the infrastructure itself are however entrusted with various personal information and data.

Paper Citation

in Harvard Style

Schmidt T., Philipsen R. and Ziefle M. (2016). User Diverse Privacy Requirements for V2X-Technology - Quantitative Research on Context-based Privacy Aspects . In Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-185-4, pages 60-67. DOI: 10.5220/0005809000600067

in Bibtex Style

@conference{vehits16,
author={Teresa Schmidt and Ralf Philipsen and Martina Ziefle},
title={User Diverse Privacy Requirements for V2X-Technology - Quantitative Research on Context-based Privacy Aspects},
booktitle={Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2016},
pages={60-67},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005809000600067},
isbn={978-989-758-185-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - User Diverse Privacy Requirements for V2X-Technology - Quantitative Research on Context-based Privacy Aspects
SN - 978-989-758-185-4
AU - Schmidt T.
AU - Philipsen R.
AU - Ziefle M.
PY - 2016
SP - 60
EP - 67
DO - 10.5220/0005809000600067