Privacy policies have become the most critical approach to safeguarding individuals' privacy and digital security. To enhance their presentation and readability, the concept of Contextual Privacy Policies (CPPs) was gradually developed, aiming to fragment policies into shorter snippets and display them only in corresponding contexts.

We are the first to propose a novel multi-modal framework, namely SeePrivacy, designed to automatically generate contextual privacy policies for mobile apps.

Our framework does not require the access to apps' source code or Android APIs; hence, the framework can be easily deployed with lower security concerns.

Privacy notice

SeePrivacy aims to protects personal privacy and digital security.

Just-in-time reminder

Privcy notices are closely and timely incorporated with their contexts.

Readability

SeePrivacy enhances the presentation and readability of privacy policies.

Comprehensibility

SeePrivacy effectively assists users in comprehending privacy policies.

SeePrivacy achieves 0.88 precision and 0.90 recall to detect contexts; as well as 0.98 precision and 0.96 recall to extract corresponding policy segments.

The user study shows SeePrivacy demonstrates excellent functionality and usability (4.5/5). Specifically, participants exhibit a greater willingness to read CPPs (4.1/5) compared to original privacy policies (2/5).

In conclusion, our solution effectively assists users in comprehending privacy notices, and this research establishes a solid foundation for further advancements and exploration.