European Users' In-Depth Privacy Concerns with Smartphone Data Collection MHCI038

Today’s context-aware mobile phones allow developers to build intelligent and adaptive applications. The data demand induced by context awareness leads to decreased trust and increased privacy concerns. However, users’ deeper reasons and real-world fears that underlie these concerns are not fully understood. We conducted an online survey (N=100) and semi-structured interviews (N=20) to understand users’ concerns about smartphone data privacy. We investigated three key areas: general user understanding and misconceptions, specific in-depth concerns, and mitigation strategies. We found that effective transparency and control are the central themes across all areas. Users are concerned about privacy issues negatively impacting their lives, especially through financial loss, physical harm, or manipulation. We show that privacy measures should be implemented with a stronger focus on the user by keeping the user in the loop through transparency and control.

Authors

Institutions

Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-09-09
DOI
https://doi.org/10.1145/3743719
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

European Users' In-Depth Privacy Concerns with Smartphone Data Collection MHCI038

Maximiliane Windl, Sven Mayer, Tobias Knobloch, Florian Bemmann
Proceedings of the ACM on Human-Computer Interaction
Privacy, Security, and Data Protection
article

European Users' In-Depth Privacy Concerns with Smartphone Data Collection MHCI038

Maximiliane Windl, Sven Mayer, Tobias Knobloch, Florian Bemmann
article en

Abstract

Today’s context-aware mobile phones allow developers to build intelligent and adaptive applications. The data demand induced by context awareness leads to decreased trust and increased privacy concerns. However, users’ deeper reasons and real-world fears that underlie these concerns are not fully understood. We conducted an online survey (N=100) and semi-structured interviews (N=20) to understand users’ concerns about smartphone data privacy. We investigated three key areas: general user understanding and misconceptions, specific in-depth concerns, and mitigation strategies. We found that effective transparency and control are the central themes across all areas. Users are concerned about privacy issues negatively impacting their lives, especially through financial loss, physical harm, or manipulation. We show that privacy measures should be implemented with a stronger focus on the user by keeping the user in the loop through transparency and control.

Proceedings of the ACM on Human-Computer InteractionVol. 9(5)
TU Dortmund University (DE), LMU Klinikum (DE), Ludwig-Maximilians-Universität München (DE)
Openalex Percentile: Top 67%
Privacy, Security, and Data Protection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.