dc.contributor.author | Mannhardt, Felix | |
dc.contributor.author | Oliveira, Manuel Fradinho | |
dc.contributor.author | Petersen, Sobah Abbas | |
dc.date.accessioned | 2021-05-11T11:49:15Z | |
dc.date.available | 2021-05-11T11:49:15Z | |
dc.date.created | 2019-07-07T10:02:58Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 1865-1348 | |
dc.identifier.uri | https://hdl.handle.net/11250/2754901 | |
dc.description.abstract | In smart manufacturing environments sensors are collecting data about work processes. This data likely also contains references to actions of a single worker, which can be considered personal data. Privacy dashboards convey information on what personal data is stored by a system and provide means for users of a system to control what personal data is shared according to their needs. Dashboards put the control over their personal data in the hands of the users. However, to act as a trust building component the dashboard needs to convey or mediate the trade-off between the user's privacy and the benefits of data sharing. This work describes the design process and a elicitation of preliminary requirements for a privacy dashboard that is developed in the context of the the H2020 project HUMAN Manufacturing. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Springer Verlag | en_US |
dc.subject | Privacy | en_US |
dc.subject | Dashboard | en_US |
dc.subject | Smart manufacturing | en_US |
dc.subject | Industry 4.0 | en_US |
dc.title | Designing a Privacy Dashboard for a Smart Manufacturing Environment | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | © IFIP International Federation for Information Processing 2020
This is a post-peer-review, pre-copyedit version of an article published in IFIP Advances in Information and Communication Technology. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-39634-3_8 | en_US |
dc.source.pagenumber | 79-85 | en_US |
dc.source.volume | 573 | en_US |
dc.source.journal | Lecture Notes in Business Information Processing | en_US |
dc.identifier.cristin | 1710489 | |
dc.relation.project | EC/H2020/723737 | en_US |
cristin.unitcode | 7401,90,30,0 | |
cristin.unitname | Teknologiledelse | |
cristin.ispublished | false | |
cristin.qualitycode | 1 | |