Try for more edge applications so user data can be processed locally itself. Make more general applications work without the collection of a lot of data. Be transparent regarding the data that is being collected and used for making the solution.

For personalized AR experiences, protecting user privacy is key. Here’s how I approach it: Collect Only What’s Necessary: Gather just the data needed for the experience. Be Transparent: Let users know what data is collected and how it’s used. Give Users Control: Allow users to manage what data they share. Anonymize Data: Protect user identities by anonymizing data when possible. Ensure Security: Use encryption and regular system checks to keep data safe. It’s all about providing great experiences while respecting privacy.

Privacy is an important factor, but as you know, when you connect to the Internet, you can only control part of it through cookie settings, firewalls, and other security measures. When large companies silently collect user data, it’s unrealistic to expect smaller ones to always uphold stricter standards. However, as a matter of ethics, we can take steps to respect our users' privacy: 1-No unnecessary permissions, only request what is essential. 2-Provide a button in the UI to clear cache and personal data. 3-Inform users whenever data is being collected. 4-Obtain clear user consent before collecting any information. In conclusion, no system is entirely safe, but we can strive to make it more transparent and respectful of user privacy.

I’d like to complement the text with some useful ideas to strengthen user trust in AR privacy: - Limit data collection to essentials. Avoid gathering information that is not critical to the experience. - Adopt anonymization practices. Remove or mask personal identifiers whenever possible. - Implement contextual notifications. Alert users when sensitive data is required, explaining why.

Personalized AR makes experiences more interactive, but privacy must come first. To protect users, apps should only collect necessary data—for example, if an AR shopping app suggests clothes based on body size, it shouldn’t track location unless needed. Processing data on the device instead of the cloud adds security. Clear consent lets users know what’s being collected, like how face filters ask for camera access. Encryption and anonymization keep personal data safe, while giving users control means they can turn off tracking anytime.