What was it like for you? Former pupils' reflections on their placement at a residential school for pupils with emotional and behavioural difficulties

Filiz Polat, Peter Farrell

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

Many smartphone users are uncomfortable with the permissions requested by their mobile apps. The sheer number of permissions can be so overwhelming that many users are unable to adequately manage their permission settings. We present a methodology for building personalized privacy assistants to recommend permission settings to users. We conducted two field studies with Android users: the first (n=84), to collect privacy preferences and build a recommendation system, the second (n=51), to evaluate the effectiveness of the recommendations. Results show that 73.7% of recommendations are accepted. Following interactions with the assistant, participants were motivated to further review and modify their settings with daily privacy nudges. Despite showing significant engagement and modifying permissions not covered in the recommendations, participants only modified 5.6% of the recommendations they had accepted. We discuss implications of our results for the design of existing permission managers and future privacy assistants.
Original languageEnglish
JournalEmotional and Behavioural Difficulties
DOIs
Publication statusPublished - 2002

Fingerprint

Privacy
Pupil
Mobile Applications

Keywords

  • Inclusion
  • Residential schools
  • Special schools

Cite this

@article{4e50148e53a04c40816be9b5fb8d8f8b,
title = "What was it like for you? Former pupils' reflections on their placement at a residential school for pupils with emotional and behavioural difficulties",
abstract = "Many smartphone users are uncomfortable with the permissions requested by their mobile apps. The sheer number of permissions can be so overwhelming that many users are unable to adequately manage their permission settings. We present a methodology for building personalized privacy assistants to recommend permission settings to users. We conducted two field studies with Android users: the first (n=84), to collect privacy preferences and build a recommendation system, the second (n=51), to evaluate the effectiveness of the recommendations. Results show that 73.7{\%} of recommendations are accepted. Following interactions with the assistant, participants were motivated to further review and modify their settings with daily privacy nudges. Despite showing significant engagement and modifying permissions not covered in the recommendations, participants only modified 5.6{\%} of the recommendations they had accepted. We discuss implications of our results for the design of existing permission managers and future privacy assistants.",
keywords = "Inclusion, Residential schools, Special schools",
author = "Filiz Polat and Peter Farrell",
year = "2002",
doi = "10.1177/1363275202007002004",
language = "English",
journal = "Emotional and Behavioural Difficulties",
issn = "1363-2752",
publisher = "Routledge",

}

TY - JOUR

T1 - What was it like for you? Former pupils' reflections on their placement at a residential school for pupils with emotional and behavioural difficulties

AU - Polat, Filiz

AU - Farrell, Peter

PY - 2002

Y1 - 2002

N2 - Many smartphone users are uncomfortable with the permissions requested by their mobile apps. The sheer number of permissions can be so overwhelming that many users are unable to adequately manage their permission settings. We present a methodology for building personalized privacy assistants to recommend permission settings to users. We conducted two field studies with Android users: the first (n=84), to collect privacy preferences and build a recommendation system, the second (n=51), to evaluate the effectiveness of the recommendations. Results show that 73.7% of recommendations are accepted. Following interactions with the assistant, participants were motivated to further review and modify their settings with daily privacy nudges. Despite showing significant engagement and modifying permissions not covered in the recommendations, participants only modified 5.6% of the recommendations they had accepted. We discuss implications of our results for the design of existing permission managers and future privacy assistants.

AB - Many smartphone users are uncomfortable with the permissions requested by their mobile apps. The sheer number of permissions can be so overwhelming that many users are unable to adequately manage their permission settings. We present a methodology for building personalized privacy assistants to recommend permission settings to users. We conducted two field studies with Android users: the first (n=84), to collect privacy preferences and build a recommendation system, the second (n=51), to evaluate the effectiveness of the recommendations. Results show that 73.7% of recommendations are accepted. Following interactions with the assistant, participants were motivated to further review and modify their settings with daily privacy nudges. Despite showing significant engagement and modifying permissions not covered in the recommendations, participants only modified 5.6% of the recommendations they had accepted. We discuss implications of our results for the design of existing permission managers and future privacy assistants.

KW - Inclusion

KW - Residential schools

KW - Special schools

U2 - 10.1177/1363275202007002004

DO - 10.1177/1363275202007002004

M3 - Article

JO - Emotional and Behavioural Difficulties

JF - Emotional and Behavioural Difficulties

SN - 1363-2752

ER -