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SYSTEMS AND METHODS FOR INTELLIGENT GENERATION OF INCLUSIVE SYSTEM DESIGNS

机译:包容性系统设计的智能生成系统和方法

摘要

In spite of complying with accessibility standards and guidelines, it is noted that persons with disabilities (PwD) continue to face usability challenges when accessing content. The present disclosure addresses these challenges by firstly identifying design considerations for each type of disability and facilitates intelligent generation of inclusive system designs that addresses usability and accessibility challenges based on persona, scenario and modality associated with users of all abilities, hence being inclusive. Systems and methods of the present disclosure aide designers with a comprehensive knowledge bank of captured challenges, needs and effectiveness of modalities, the outcomes and existing design considerations that may be prompted at appropriate state of development of system designs to help designers make informed design choices without curtailing their creativity thus digitizing the end-to-end design process. An Artificial Intelligence-Machine Learning module facilitates automated generation of run-time interface using cognitive inputs from designers.
机译:尽管遵守了可访问性标准和准则,但应指出,残疾人(PwD)在访问内容时仍面临可用性挑战。本公开通过首先识别针对每种类型的残疾的设计考虑因素来解决这些挑战,并促进基于与所有能力的用户相关联的角色,场景和模态来解决可用性和可及性挑战的包容性系统设计的智能生成,因此是包容性的。本公开的系统和方法帮助设计者具有全面的知识库,该知识库包括捕获的挑战,模态的需要和有效性,结果和现有设计考虑因素,其可以在系统设计的适当开发状态下被提示以帮助设计者做出明智的设计选择而无需减少他们的创造力,从而数字化端到端的设计过程。人工智能机器学习模块可使用设计人员的认知输入来促进自动生成运行时界面。

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