research-article

Leakiness and creepiness in app space: perceptions of privacy and mobile app use

Authors:

Irina Shklovski,

Scott D. Mainwaring,

Halla Hrund Skúladóttir,

Höskuldur BorgthorssonAuthors Info & Claims

CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 2347 - 2356

https://doi.org/10.1145/2556288.2557421

Published: 26 April 2014 Publication History

Abstract

Mobile devices are playing an increasingly intimate role in everyday life. However, users can be surprised when informed of the data collection and distribution activities of apps they install. We report on two studies of smartphone users in western European countries, in which users were confronted with app behaviors and their reactions assessed. Users felt their personal space had been violated in "creepy" ways. Using Altman's notions of personal space and territoriality, and Nissenbaum's theory of contextual integrity, we account for these emotional reactions and suggest that they point to important underlying issues, even when users continue using apps they find creepy.

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https://doi.org/10.36253/979-12-215-0319-7.138
Wu BHuang QTung A(2024)From Zero to Hero: Detecting Leaked Data through Synthetic Data Injection and Model QueryingProceedings of the VLDB Endowment10.14778/3659437.365944617:8(1898-1910)Online publication date: 1-Apr-2024
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Index Terms

Leakiness and creepiness in app space: perceptions of privacy and mobile app use
1. Human-centered computing

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cover image ACM Conferences

CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2014

4206 pages

ISBN:9781450324731

DOI:10.1145/2556288

General Chairs:
Matt Jones
Swansea University, Wales, UK
,
Philippe Palanque
Université Paul Sabatier, France
,
Program Chairs:
Albrecht Schmidt
University of Stuttgart, Germany
,
Tovi Grossman
Autodesk Research, Canada

Copyright © 2014 ACM.

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Published: 26 April 2014

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April 26 - May 1, 2014

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CHI '14 Paper Acceptance Rate 465 of 2,043 submissions, 23%;

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https://doi.org/10.36253/979-12-215-0319-7.138
Wu BHuang QTung A(2024)From Zero to Hero: Detecting Leaked Data through Synthetic Data Injection and Model QueryingProceedings of the VLDB Endowment10.14778/3659437.365944617:8(1898-1910)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.14778/3659437.3659446
Hamper J(2024)‘Babies are a massive money spinner’: Data, reproductive labour and the commodification of pre-motherhood in fertility and pregnancy appsNew Media & Society10.1177/14614448241262805Online publication date: 26-Jul-2024
https://doi.org/10.1177/14614448241262805
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