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sugested abstract

From: lisa.seeman <lisa.seeman@zoho.com>
Date: Mon, 20 Jul 2020 15:03:49 +0300
To: "public-personalization-tf" <public-personalization-tf@w3.org>
Message-Id: <1736c19eaad.104b889c1235833.7763855178785460109@zoho.com>
Hi Folks

I was wondering if we need the abstract to also say what this module does relative to the whole suit.

Something like:


Personalization involves tailoring aspects of the user experience to meet the needs and preferences of the individual user. For example, having familiar terms and symbols is key to many users being able to use the web.

This module provides web content authors a standard approach to add semtics to enble content to adapt to the needs and prefrences of the user.  It provides vocabularies that enable user agents to augment or adapt content to the user scenario and helps the user use and understand the content. It includes use cases and vocabularies for identifying the purpose of controls, symbols and user interface elements and supports simplification and avoiding distractions.

The technology described in this specification is intended to be used to programmatically transform the appearance of typical web content including form controls, icons, and other user interface elements into a rendering more familiar and comprehensible to an individual user, such as users who:

Customarily communicate using symbolic languages generally known as Augmentative and Alternative Communications (AAC);

Need more familiar icons (and other graphical symbols) in order to comprehend page content;

Benefit from additional help resources;

Require a simplified page in order to interact successfully.

This helps users with varying needs to understand web content more readily, by simplifying the web interaction, and by avoiding forcing the user to grapple with unfamiliar representations they are ill equipped to comprehend.

This Personalization Semantics Content Module 1.0 is a component of the Personalization Semantics series introduced in the Personalization Semantics Explainer 1.0 document [personalization-semantics-1.0].

All the best

Lisa Seeman

http://il.linkedin.com/in/lisaseeman/, https://twitter.com/SeemanLisa
Received on Monday, 20 July 2020 12:04:20 UTC

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