Designing a Privacy Dashboard for a Smart Manufacturing Environment

Felix Mannhardt, Manuel Oliveira, Sobah Abbas Petersen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

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 an elicitation of preliminary requirements for a privacy dashboard that is developed in the context of the H2020 project HUMAN Manufacturing.

Original languageEnglish
Title of host publicationDigital Transformation for a Sustainable Society in the 21st Century - I3E 2019 IFIP WG 6.11 International Workshops, Revised Selected Papers
EditorsIlias O. Pappas, Ilias O. Pappas, Patrick Mikalef, Letizia Jaccheri, John Krogstie, Yogesh K. Dwivedi, Matti Mäntymäki
PublisherSpringer
Pages79-85
Number of pages7
ISBN (Print)9783030396336
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019 - Trondheim, Norway
Duration: 18 Sept 201920 Sept 2019

Publication series

NameIFIP Advances in Information and Communication Technology
Volume573 AICT
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019
Country/TerritoryNorway
CityTrondheim
Period18/09/1920/09/19

Funding

This research has received funding from the European Union’s H2020 research and innovation programme under grant agreement no. 723737 (HUMAN).

Keywords

  • Dashboard
  • Industry 4.0
  • Privacy
  • Smart manufacturing

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