(Created page with " == Abstract == The paper will show, how different types of users are evaluating privacy and data security differently according to contextual differentiating traffic situati...") |
m (Scipediacontent moved page Draft Content 673570608 to Ziefle et al 2016a) |
(No difference)
| |
Latest revision as of 08:31, 2 February 2021
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.
Original document
The different versions of the original document can be found in:
- https://doi.org/10.5220/0005809000600067 under the license cc-by-nc-nd
- [ ]
Document information
Published on 01/01/2016
Volume 2016, 2016
DOI: 10.5220/0005809000600067
Licence: Other
Share this document
Keywords
claim authorship
Are you one of the authors of this document?