ARIS - Adaptive Rendering of Interfaces and Shades

5.0(

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Extension Accessibility6 users

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Overview

Enhancing color recognition through Daltonization algorithms for color-blind users.

ARIS is developed by Jellienne Sagun, Katrina Leigh Lipata, Jiecel Pascua and Marry Glo Sanchez as part of a thesis project in Computer Science, focusing on improving digital accessibility through adaptive rendering techniques. This extension is intended for educational and research purposes only. To ensure the effectiveness of ARIS in enhancing color perception for individuals with color vision deficiency (CVD), we have included a test image generated using the ColorBlindTestGenerator by Tucker87. This tool allows users to assess their ability to distinguish colors before and after applying ARIS' Daltonization filters. All rights to the original test generator remain with the respective developer. Color deficiency matrices were adapted from the model proposed by Machado et al. in "A Physiologically-based Model for Simulation of Color Vision Deficiency" (IEEE Transactions on Visualization and Computer Graphics, 2009). More info: http://www.inf.ufrgs.br/~oliveira/pubs_files/CVD_Simulation/CVD_Simulation.html The test image included in ARIS was generated using the ColorBlindTestGenerator by Tucker87: https://github.com/tucker87/ColorBlindTestGenerator/

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Details

Version
1.4
Updated
June 29, 2025
Flag concern
Size
62.28KiB
Languages
English (United States)
Developer
Email
jelieyss25@gmail.com
Non-trader
This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

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ARIS - Adaptive Rendering of Interfaces and Shades has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.

ARIS - Adaptive Rendering of Interfaces and Shades handles the following:

Website content

This developer declares that your data is

Not being sold to third parties, outside of the approved use cases
Not being used or transferred for purposes that are unrelated to the item's core functionality
Not being used or transferred to determine creditworthiness or for lending purposes

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