Publication:

Understanding User Perceptions of Personal Data Stores: A Prototype-Driven Multi-Scenario Study

Date

2025-AUG 19
Journal article
https://doi.org/10.1080/10447318.2025.2545467
Simple item page Full metadata Statistics
 
dc.contributor.authorTheys, Tim
dc.contributor.authorMechant, Peter
dc.contributor.authorDe Marez, Lieven
dc.contributor.authorSaldien, Jelle
dc.date.accessioned2025-08-27T04:01:03Z
dc.date.available2025-08-27T04:01:03Z
dc.date.issued2025-AUG 19
dc.description.wosFundingTextSections of this manuscript were proofread using ChatGPT-4o (OpenAI) to improve the language. Additionally, DeepL was used to assist the author with translating participant quotes from Dutch to English.
dc.identifier.doi10.1080/10447318.2025.2545467
dc.identifier.issn1044-7318
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/46121
dc.publisherTAYLOR & FRANCIS INC
dc.source.beginpage1
dc.source.journalINTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
dc.source.numberofpages37
dc.subject.keywordsACCEPTANCE
dc.subject.keywordsPRIVACY
dc.subject.keywordsMODEL
dc.subject.keywordsTECHNOLOGY
dc.title

Understanding User Perceptions of Personal Data Stores: A Prototype-Driven Multi-Scenario Study

dc.typeJournal article
dspace.entity.typePublication
Files

Original bundle

Name:
Understanding User Perceptions of Personal Data Stores A Prototype-Driven Multi-Scenario Study.pdf
Size:
6.3 MB
Format:
Adobe Portable Document Format
Description:
Published
Download
Publication available in collections:
Articles