Design principles for personalized assistance systems that respect privacy
Keywords
Personalized Assistance Systems; Design Principles; Employee-determined Data; Privacy Control; Privacy by Design; Privacy by Default
Cite as
Voss, M., Bosak, O., Hoebertz, M., Mohsenzadeh, F., Schnebbe, M., Pöppelbuß, J., & Eisenbeiß, M. (2022). Design principles for personalized assistance systems that respect privacy. AIS Transactions on Human-Computer Interaction (THCI), 14(4).Details
Publication type
Research article (journal)
Peer reviewed
Yes
Publication status
Published
Year
2022
Journal
AIS Transactions on Human-Computer Interaction
Volume
14
Issue
4
ISSN
1944-3900
DOI