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A knowledge-based approach to user interface adaptation from preferences and for special needs

机译:一种基于知识的方法,可以根据喜好和特殊需求来适应用户界面

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摘要

Moving between devices is omnipresent, but not for people with disabilities or those who require specific accessibility options. Setting up assistive technologies or finding settings to overcome a certain barrier can be a demanding task for people without technical skills. Context-sensitive adaptive user interfaces are advancing, although migrating access features from one device to another is very rarely addressed. In this paper, we describe the knowledge-based component of the Global Public Inclusive Infrastructure that infers how a device shall be best configured at the operating system layer, the application layer and the web layer to meet the requirements of a user including possible special needs or disabilities. In this regard, a mechanism to detect and resolve conflicting accessibility policies as well as recommending preference substitutes is a main requirement, as elaborated in this paper. As the proposed system emulates decision-making of accessibility experts, we validated the automatic deduced configurations against manual configurations of ten accessibility experts. The assessment result shows that the average matching score of the developed system is high. Thus, the proposed system can be considered capable of making precise decisions towards personalizing user interfaces based on user needs and preferences.
机译:在设备之间移动是无所不在的,但对于残障人士或需要特定辅助功能选项的人而言并非如此。对于没有技术技能的人来说,设置辅助技术或寻找克服特定障碍的设置可能是一项艰巨的任务。尽管很少解决将访问功能从一台设备迁移到另一台设备的情况,但上下文相关的自适应用户界面正在不断发展。在本文中,我们描述了全球公共包容性基础架构的基于知识的组件,该组件推断如何在操作系统层,应用程序层和Web层上最佳配置设备以满足用户的需求,包括可能的特殊需求或残疾。在这方面,如本文所述,检测和解决冲突的可访问性策略以及推荐优先选择的机制是主要要求。由于拟议的系统模拟了可访问性专家的决策,因此我们对照了十个可访问性专家的手动配置验证了自动推导的配置。评估结果表明,所开发系统的平均匹配分数很高。因此,可以认为所提出的系统能够基于用户需求和偏好做出针对个性化用户界面的精确决策。

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