Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Towards Improving Transparency, Intervenability, and Consent in HCI
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). (Prisec - Privacy and Security)ORCID-id: 0000-0003-2823-3837
2018 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Transparency of personal data processing is enforced by most Western privacy laws, including the new General Data Protection Regulation (GDPR) which will be effective from May 2018. The GDPR specifies that personal data shall be processed lawfully, fairly, and in a transparent manner. It strengthens people's rights for both ex-ante and ex-post transparency and intervenability. Equally important is the strict legal requirements for informed consent established by the GDPR.

On the other hand, the legal privacy principles have Human-Computer Interaction (HCI) implications. People should comprehend the principles, be aware of when the principles may be used, and be able to use them. Transparent information about personal data processing should be concise, intelligible, and provided in an easily accessible form, pursuant to the GDPR. Nonetheless, the answer to the question about how HCI implications can be addressed depends on the attempts to decrease the gap between legal and user-centric transparency, intervenability, and consent. Enhancing individuals' control in a usable way helps people to be aware of the flow of their personal information, control their data, make informed decisions, and finally preserve their privacy.

The objective of this thesis is to propose usable tools and solutions, to enhance people's control and enforce legal privacy principles, especially transparency, intervenability, and informed consent. To achieve the goal of the thesis, different ways to improve ex-ante transparency and informed consent are investigated by designing and testing new solutions to make effective consent forms. Moreover, ex-post transparency and intervenability are improved by designing a transparency enhancing tool and investigating users' perceptions of data portability and transparency in the tool. The results of this thesis contribute to the body of knowledge by mapping legal privacy principles to HCI solutions, unveiling HCI problems and answers when aiming for legal compliance, and proposing effective designs to obtain informed consent.    

Abstract [en]

The new General Data Protection Regulation (GDPR) strengthens people’s rights for transparency, intervenability, and consent. The legal privacy principles have Human-Computer Interaction (HCI) implications. Besides aiming for legal compliance, it is of paramount importance to investigate how to provide individuals with usable and user-centric transparency, intervenability, and consent.

The objective of this thesis is to propose usable tools and solutions, to enhance people's control and enforce legal privacy principles, especially transparency, intervenability, and informed consent. To achieve the goal of the thesis, different ways to improve ex-ante transparency and informed consent are investigated by designing and testing new solutions to make effective consent forms. Moreover, ex-post transparency and intervenability are improved by designing a transparency enhancing tool and investigating users' perceptions of data portability and transparency in the tool. The results of this thesis contribute to the body of knowledge by mapping legal privacy principles to HCI solutions, unveiling HCI problems and answers when aiming for legal compliance, and proposing effective designs to obtain informed consent.    

sted, utgiver, år, opplag, sider
Karlstad University Press, 2018. , s. 39
Serie
Karlstad University Studies, ISSN 1403-8099 ; 2018:9
Emneord [en]
GDPR, Informed Consent, Intervenability, Transparency, Usable Privacy
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-66109ISBN: 978-91-7063-838-1 (tryckt)ISBN: 978-91-7063-933-3 (digital)OAI: oai:DiVA.org:kau-66109DiVA, id: diva2:1180397
Presentation
2018-03-15, 12 B 252, Universitetsgatan 2, Karlstad, 09:00 (engelsk)
Opponent
Veileder
Merknad

The 3. article was in manuscript form at the time of the licentiate defense: Karegar, F. / User Evaluations of an App Interface for Cloud-based Identity Management / / Manuskript (preprint)

Tilgjengelig fra: 2018-02-22 Laget: 2018-02-05 Sist oppdatert: 2019-06-10bibliografisk kontrollert
Delarbeid
1. Transparency, Privacy and Trust: Technology for Tracking and Controlling my Data Disclosures – Does this work?
Åpne denne publikasjonen i ny fane eller vindu >>Transparency, Privacy and Trust: Technology for Tracking and Controlling my Data Disclosures – Does this work?
2016 (engelsk)Inngår i: Proceedings of the 10th IFIPTM Conference 2016: Trust Management X / [ed] Sheikh Mahbub Habib, Julita Vassileva, Sjouke Mauw, Max Mühlhäuser, Heidelberg: Springer Berlin/Heidelberg, 2016Konferansepaper, Publicerat paper (Fagfellevurdert)
sted, utgiver, år, opplag, sider
Heidelberg: Springer Berlin/Heidelberg, 2016
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-43251 (URN)978-3-319-41354-9 (ISBN)
Konferanse
IFIPTM 2016 July 18-22 Darmstadt, Germany
Tilgjengelig fra: 2016-06-16 Laget: 2016-06-16 Sist oppdatert: 2018-07-02bibliografisk kontrollert
2. Visualizing Exports of Personal Data by Exercising the Right of Data Portability in the Data Track - Are People Ready for This?
Åpne denne publikasjonen i ny fane eller vindu >>Visualizing Exports of Personal Data by Exercising the Right of Data Portability in the Data Track - Are People Ready for This?
2017 (engelsk)Inngår i: Privacy and Identity Management. Facing up to Next Steps. Privacy and Identity 2016. IFIP Advances in Information and Communication Technology., Springer, 2017, Vol. 498, s. 164-181Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

A transparency enhancing tool called Data Track has been developed at Karlstad University. The latest stand-alone version of the tool allows users to visualize their data exports. For analyzing the users’ perceptions of the Data Track in regard to transparency features and the concepts of data export and data portability, we have conducted a qualitative user study. We observed that although users had rather little interest in the visualization of derived data activities revealed in the Google location file, they were interested in other kinds of derived data like usage patterns for different service providers. Also, as earlier user studies revealed, we again confirmed that it is confusing for users to differentiate between locally and remotely stored and controlled data. Finally, in spite of being concerned about the security of the data exported to their machines, for exercising data portability rights pursuant to the General Data Protection Regulation, most participants would prefer to first export and edit the data before uploading it to another service provider and would appreciate using a tool such as the Data Track for helping them in this context.

sted, utgiver, år, opplag, sider
Springer, 2017
Serie
IFIP Advances in Information and Communication Technology book series, ISSN 1868-4238
Emneord
Transparency Enhancing Tools, Data portability, visualization, Data Track
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-64555 (URN)10.1007/978-3-319-55783-0_12 (DOI)000460572100012 ()978-3-319-55782-3 (ISBN)978-3-319-55783-0 (ISBN)
Konferanse
The 11th International IFIP Summer School on Privacy and Identity Management, August 21-26, 2016, Karlstad, Sweden
Tilgjengelig fra: 2017-10-16 Laget: 2017-10-16 Sist oppdatert: 2019-09-05bibliografisk kontrollert
3. User Evaluations of an App Interface for Cloud-Based Identity Management
Åpne denne publikasjonen i ny fane eller vindu >>User Evaluations of an App Interface for Cloud-Based Identity Management
2018 (engelsk)Inngår i: Advances in Information Systems Development / [ed] Paspallis N., Raspopoulos M., Barry C., Lang M., Linger H., Schneider C., Cham: Springer, 2018, Vol. 26, s. 205-223Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Within a project developing cloud technology for identity access management, usability tests of the mock-up of a mobile app identity provider were conducted to assess Internet users’ consciousness of data disclosures in consent forms and their comprehension of the flow of authentication data. Results show that using one’s fingerprint for giving consent was easy, but most participants did not have a correct view of where the fingerprint data is used and what entities would have access to it. Familiarity with ID apps appeared to aggravate misunderstanding. In addition, participants could not well recall details of personal data releases and settings for disclosure options. An evaluation with a confirmation screen improved the recall rate slightly. However, some participants voiced a desire to have control over their data and expressed a wish to manually select mandatory information. This can be a way of slowing users down and make them reflect more.

sted, utgiver, år, opplag, sider
Cham: Springer, 2018
Serie
Lecture Notes in Information Systems and Organisation, ISSN 2195-4968 ; 26
Emneord
Cloud computing, Identity management, Data disclosure, Usable privacy, Smartphone
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-67323 (URN)10.1007/978-3-319-74817-7_13 (DOI)978-3-319-74816-0 (ISBN)978-3-319-74817-7 (ISBN)
Konferanse
6th International Conference on Information Systems Development (ISD) held in Larnaca, Cyprus, September 6 - 8, 2017
Merknad

This article was published as manuscript in Farzaneh Karegars licentiate thesis. 

Tilgjengelig fra: 2018-05-17 Laget: 2018-05-17 Sist oppdatert: 2019-11-11bibliografisk kontrollert
4. Helping John to Make Informed Decisions on Using Social Login
Åpne denne publikasjonen i ny fane eller vindu >>Helping John to Make Informed Decisions on Using Social Login
2018 (engelsk)Inngår i: Proceedings of the 33th Symposium on Applied Computing (SAC 2018), Pau, F, April 9-13, 2018, New York: ACM Publications, 2018Kapittel i bok, del av antologi (Annet vitenskapelig)
sted, utgiver, år, opplag, sider
New York: ACM Publications, 2018
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-65743 (URN)10.1145/3167132.3167259 (DOI)000455180700169 ()
Prosjekter
Credential (4896)
Forskningsfinansiär
EU, Horizon 2020
Tilgjengelig fra: 2018-01-19 Laget: 2018-01-19 Sist oppdatert: 2019-02-14bibliografisk kontrollert

Open Access i DiVA

fulltext(1087 kB)231 nedlastinger
Filinformasjon
Fil FULLTEXT02.pdfFilstørrelse 1087 kBChecksum SHA-512
e83c24331717d0f789e60c566ba7059b807d58d6194f53c194460a1e7052662f3fd7cc9e7479247584ba808c46fcef91482041ddefa77c5712c00b76d54662cc
Type fulltextMimetype application/pdf
Forskningspodden with Farzaneh Karegar(31506 kB)53 nedlastinger
Filinformasjon
Fil AUDIO01.mp3Filstørrelse 31506 kBChecksum SHA-512
c492f9748cf62a1945e614258fe1fe66e7ba425953ee22fb01a7e1a869913054c2129b3df9e99ee833617ce7d75e4dbf8619d549b73e96181bc3e62b7a45c187
Type audioMimetype audio/mpeg

Personposter BETA

Karegar, Farzaneh

Søk i DiVA

Av forfatter/redaktør
Karegar, Farzaneh
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 231 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

isbn
urn-nbn

Altmetric

isbn
urn-nbn
Totalt: 1672 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf