基于对象的访问:增强数据驱动媒体的可访问性

Alexandre Nevsky
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引用次数: 0

摘要

视听媒体是许多人日常生活中不可或缺的一部分。然而,有可访问性需求的人,尤其是有复杂可访问性需求的人,在访问这些内容时可能会面临挑战。这项博士工作通过研究如何利用数据驱动的方法通过内容个性化来满足复杂的可访问性需求来解决这个问题。为此,我将与失语症患者合作,这是一种复杂的语言障碍,作为有复杂无障碍需求的人的典范社区。为了更好地了解失语症患者的需求,我将使用协作设计技术来满足最终用户的需求。这需要他们参与系统的设计、开发和评估,以证明内容个性化作为可访问性干预的好处。本文概述了攻读博士学位的背景和动机,已经完成的工作,以及目前计划的未来工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Object-Based Access: Enhancing Accessibility with Data-Driven Media
Audiovisual media is an integral part of many people’s everyday lives. People with accessibility needs, especially people with complex accessibility needs, however, may face challenges accessing this content. This doctoral work addresses this problem by investigating how complex accessibility needs can be met by content personalisation by leveraging data-driven methods. To this end, I will collaborate with people with aphasia, a complex language impairment, as an exemplar community of people with complex accessibility needs. To better understand the needs of people with aphasia, I will use collaborative design techniques to meet the needs of end users. This will involve them in the design, development and evaluation of systems that demonstrate the benefits of content personalisation as an accessibility intervention. This paper outlines the background and motivation to this PhD, the work that has already been completed, and current planned future work.
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