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Privacy by Design Principles in Design of New Generation Cognitive Assistive Technologies
Örebro universitet, Handelshögskolan vid Örebro Universitet.
Örebro universitet, Institutionen för naturvetenskap och teknik.ORCID-id: 0000-0002-4368-4751
2016 (Engelska)Ingår i: ICT systems security and privacy protection: 31th IFIP TC 11 International Conference, SEC 2016, Hamburg, Germany, May 30-June 1, 2016, Proceedings / [ed] Jaap-Henk Hoepman & Stefan Katzenbeisser, Springer , 2016, s. 384-397Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Today, simple analogue assistive technologies are transformed into complex and sophisticated sensor networks. This raises many new privacy issues that need to be considered. In this paper, we investigate how this new generation of assistive technology incorporates Privacy by Design (PbD) principles. The research is conducted as a case study where we use PbD principles as an analytical lens to investigate the design of the new generation of digitalized assistive technology as well as the users’ privacy preferences that arise in use of this technology in real homes. Based on the findings from the case study, we present guidelines for building in privacy in new generations of assistive technologies and in this way protect the privacy of the people using these technologies.

Ort, förlag, år, upplaga, sidor
Springer , 2016. s. 384-397
Serie
IFIP Advances in Information and Communication Technology, ISSN 1868-4238 ; 471
Nyckelord [en]
Privacy requirements, Privacy by design, Assistive technology, Cognitive decline, Aging in place
Nationell ämneskategori
Datavetenskap (datalogi) Systemvetenskap, informationssystem och informatik
Forskningsämne
Datavetenskap; Informatik
Identifikatorer
URN: urn:nbn:se:mdh:diva-43387DOI: 10.1007/978-3-319-33630-5_26ISI: 000385789400026Scopus ID: 2-s2.0-84969941403OAI: oai:DiVA.org:mdh-43387DiVA, id: diva2:1314698
Konferens
31th International Conference on ICT Systems Security and Privacy Protection, Ghent, Belgium, May 30-June 1, 2016
Anmärkning

Tillgänglig från: 2019-05-09 Skapad: 2019-05-09 Senast uppdaterad: 2019-05-09Bibliografiskt granskad

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Förlagets fulltextScopushttp://oru.diva-portal.org/smash/get/diva2:933136/FULLTEXT01.pdf

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Kolkowska, EllaKristoffersson, Annica

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Kolkowska, EllaKristoffersson, Annica
Datavetenskap (datalogi)Systemvetenskap, informationssystem och informatik

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