IEICE TRANSACTIONS on Information
Construction of a Support Tool for Japanese User Reading of Privacy Policies and Assessment of its User Impact
Summary :
To protect user privacy and establish self-information control rights, service providers must notify users of their privacy policies and obtain their consent in advance. The frameworks that impose these requirements are mandatory. Although originally designed to protect user privacy, obtaining user consent in advance has become a mere formality. These problems are induced by the gap between service providers' privacy policies, which prioritize the observance of laws and guidelines, and user expectations which are to easily understand how their data will be handled. To reduce this gap, we construct a tool supporting users in reading privacy policies in Japanese. We designed the tool to present users with separate unique expressions containing relevant information to improve the display format of the privacy policy and render it more comprehensive for Japanese users. To accurately extract the unique expressions from privacy policies, we created training data for machine learning for the constructed tool. The constructed tool provides a summary of privacy policies for users to help them understand the policies of interest. Subsequently, we assess the effectiveness of the constructed tool in experiments and follow-up questionnaires. Our findings reveal that the constructed tool enhances the users' subjective understanding of the services they read about and their awareness of the related risks. We expect that the developed tool will help users better understand the privacy policy content and and make educated decisions based on their understanding of how service providers intend to use their personal data.
- Publication
- IEICE TRANSACTIONS on Information Vol.E106-D No.5 pp.856-867
- Publication Date
- 2023/05/01
- Publicized
- 2023/02/08
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2022DAP0002
- Type of Manuscript
- Special Section PAPER (Special Section on Data Engineering and Information Management)
- Category
Authors
Sachiko KANAMORI
National Institute of Information and Communications Technology
Hirotsune SATO
National Institute of Information and Communications Technology,Shinshu University
Naoya TABATA
National Institute of Information and Communications Technology,Aichi Gakuin University
Ryo NOJIMA
National Institute of Information and Communications Technology
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Sachiko KANAMORI, Hirotsune SATO, Naoya TABATA, Ryo NOJIMA, "Construction of a Support Tool for Japanese User Reading of Privacy Policies and Assessment of its User Impact" in IEICE TRANSACTIONS on Information,
vol. E106-D, no. 5, pp. 856-867, May 2023, doi: 10.1587/transinf.2022DAP0002.
Abstract: To protect user privacy and establish self-information control rights, service providers must notify users of their privacy policies and obtain their consent in advance. The frameworks that impose these requirements are mandatory. Although originally designed to protect user privacy, obtaining user consent in advance has become a mere formality. These problems are induced by the gap between service providers' privacy policies, which prioritize the observance of laws and guidelines, and user expectations which are to easily understand how their data will be handled. To reduce this gap, we construct a tool supporting users in reading privacy policies in Japanese. We designed the tool to present users with separate unique expressions containing relevant information to improve the display format of the privacy policy and render it more comprehensive for Japanese users. To accurately extract the unique expressions from privacy policies, we created training data for machine learning for the constructed tool. The constructed tool provides a summary of privacy policies for users to help them understand the policies of interest. Subsequently, we assess the effectiveness of the constructed tool in experiments and follow-up questionnaires. Our findings reveal that the constructed tool enhances the users' subjective understanding of the services they read about and their awareness of the related risks. We expect that the developed tool will help users better understand the privacy policy content and and make educated decisions based on their understanding of how service providers intend to use their personal data.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2022DAP0002/_p
Copy
@ARTICLE{e106-d_5_856,
author={Sachiko KANAMORI, Hirotsune SATO, Naoya TABATA, Ryo NOJIMA, },
journal={IEICE TRANSACTIONS on Information},
title={Construction of a Support Tool for Japanese User Reading of Privacy Policies and Assessment of its User Impact},
year={2023},
volume={E106-D},
number={5},
pages={856-867},
abstract={To protect user privacy and establish self-information control rights, service providers must notify users of their privacy policies and obtain their consent in advance. The frameworks that impose these requirements are mandatory. Although originally designed to protect user privacy, obtaining user consent in advance has become a mere formality. These problems are induced by the gap between service providers' privacy policies, which prioritize the observance of laws and guidelines, and user expectations which are to easily understand how their data will be handled. To reduce this gap, we construct a tool supporting users in reading privacy policies in Japanese. We designed the tool to present users with separate unique expressions containing relevant information to improve the display format of the privacy policy and render it more comprehensive for Japanese users. To accurately extract the unique expressions from privacy policies, we created training data for machine learning for the constructed tool. The constructed tool provides a summary of privacy policies for users to help them understand the policies of interest. Subsequently, we assess the effectiveness of the constructed tool in experiments and follow-up questionnaires. Our findings reveal that the constructed tool enhances the users' subjective understanding of the services they read about and their awareness of the related risks. We expect that the developed tool will help users better understand the privacy policy content and and make educated decisions based on their understanding of how service providers intend to use their personal data.},
keywords={},
doi={10.1587/transinf.2022DAP0002},
ISSN={1745-1361},
month={May},}
Copy
TY - JOUR
TI - Construction of a Support Tool for Japanese User Reading of Privacy Policies and Assessment of its User Impact
T2 - IEICE TRANSACTIONS on Information
SP - 856
EP - 867
AU - Sachiko KANAMORI
AU - Hirotsune SATO
AU - Naoya TABATA
AU - Ryo NOJIMA
PY - 2023
DO - 10.1587/transinf.2022DAP0002
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E106-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2023
AB - To protect user privacy and establish self-information control rights, service providers must notify users of their privacy policies and obtain their consent in advance. The frameworks that impose these requirements are mandatory. Although originally designed to protect user privacy, obtaining user consent in advance has become a mere formality. These problems are induced by the gap between service providers' privacy policies, which prioritize the observance of laws and guidelines, and user expectations which are to easily understand how their data will be handled. To reduce this gap, we construct a tool supporting users in reading privacy policies in Japanese. We designed the tool to present users with separate unique expressions containing relevant information to improve the display format of the privacy policy and render it more comprehensive for Japanese users. To accurately extract the unique expressions from privacy policies, we created training data for machine learning for the constructed tool. The constructed tool provides a summary of privacy policies for users to help them understand the policies of interest. Subsequently, we assess the effectiveness of the constructed tool in experiments and follow-up questionnaires. Our findings reveal that the constructed tool enhances the users' subjective understanding of the services they read about and their awareness of the related risks. We expect that the developed tool will help users better understand the privacy policy content and and make educated decisions based on their understanding of how service providers intend to use their personal data.
ER -
English
