Abstract
The potential of Web Augmentation lies in the fact that all users need to adapt the content, style, or behavior of the web pages they visit. This is because every human being has different desires and needs, yet everyone accesses web pages designed for the general public, which cannot satisfy everyone. Web Augmentation tools have diverse objectives, such as modifying content, style, or behavior. Similarly, some tools are designed to adapt web pages for mobile devices, while others target computers. This mapping study aims to provide insights into recent trends in Web Augmentation for each of its features. By analyzing the data provided, valuable information can be extracted to inform the development of new mechanisms for creating Web Augmentation tools in the future.
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