SafeAR is an exploratory research project funded by FCT (Fundação para a Ciência e a Tecnologia). It addresses privacy issues in Augmented Reality (AR) environments while maintaining the usefulness and functioning of AR applications by utilizing obfuscation techniques as blurring, pixelation, and masking.
The SafeAR Questionnaire was designed to disseminate, collect, and analyze data on the effectiveness and user preferences for these obfuscation techniques, contributing to the development of privacy-preserving solutions in AR.
This repository contains the notebook with the source code used to analyze responses from the SafeAR Questionnaire. The analysis directly contributed to the writing of a scientific article Assessing User Perceptions and Preferences on Applying Obfuscation Techniques for Privacy Protection in Augmented Reality. The data collected can be made available upon requested.
- Privacy
- Confidentiality
- Augmented Reality
- Machine Learning
If you use any piece of the code available in this repository, please cite the following paper:
@Article{fi17020055,
AUTHOR = {Cruz, Ana Cassia and Costa, Rogério Luís de C. and Santos, Leonel and Rabadão, Carlos and Marto, Anabela and Gonçalves, Alexandrino},
TITLE = {Assessing User Perceptions and Preferences on Applying Obfuscation Techniques for Privacy Protection in Augmented Reality},
JOURNAL = {Future Internet},
VOLUME = {17},
YEAR = {2025},
NUMBER = {2},
ARTICLE-NUMBER = {55},
ISSN = {1999-5903},
DOI = {10.3390/fi17020055}
}
This work is funded by FCT - Fundação para a Ciência e a Tecnologia, I.P., through project with reference 2022.09235.PTDC.
