A Mock App Store Interface for Virtual Privacy Assistants

Sarah E. Carter, Ilaria Tiddi, Dayana Spagnuelo

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


Privacy assistants aim to provide meaningful privacy recommendations to users. Here, we describe a web-based testing environment for smartphone privacy assistants called the 'Mock App Store' (MAS). The MAS was developed to test a particular privacy assistant - the value-centered privacy assistant (VcPA) - which assists users in selecting applications based on their value profile. While the MAS was designed with the VcPA in mind, it could also be utilized to test other state-of-the-art privacy assistant technology.

Original languageEnglish
Title of host publicationHHAI2022: Augmenting Human Intellect
Subtitle of host publicationProceedings of the 1st International Conference on Hybrid Human-Artificial Intelligence
EditorsStefan Schlobach, Maria Perez-Ortiz, Myrthe Tielman
PublisherIOS Press BV
Number of pages3
ISBN (Electronic)9781643683096
ISBN (Print)9781643683089
Publication statusPublished - 2022
Event1st International Conference on Hybrid Human-Artificial Intelligence, HHAI 2022 - Amsterdam, Netherlands
Duration: 13 Jun 202217 Jun 2022

Publication series

NameFrontiers in Artificial Intelligence and Applications
PublisherIOS press
ISSN (Print)0922-6389


Conference1st International Conference on Hybrid Human-Artificial Intelligence, HHAI 2022

Bibliographical note

Funding Information:
This work is financed by the SFI CRT in Digitally-Enhanced Reality (d-real) under Grant No. 18/CRT/6224. For Open Access, the authors have applied a CC BY public copyright license. Additional thanks to Sarah’s PhD supervisors Heike Felzmann (NUI Galway) and Mathieu d’Aquin (LORIA).

Publisher Copyright:
© 2022 The authors and IOS Press.


  • mobile applications
  • Privacy assistant
  • user studies


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