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Toward digital inclusiveness for visually impaired users: affordance principles for designing assistive interfacing technology

功能可见性 人机交互 接口 计算机科学 动作(物理) 桥(图论) 感知 组分(热力学) 视力受损 清晰 设计理论 前景化 模态(人机交互) 实证研究 交互设计 补偿(心理学) 活动理论 工作(物理) 设计方法 知识管理 国家(计算机科学) 功能设计 接口(物质) 工程类 调谐 放弃(法律)
作者
Xiao Zeng,Xiaohui Liu,Chee-Wee Tan,Haiping Zhang,Xin Xu,Fei Liu,Yijing Li
出处
期刊:Industrial Management and Data Systems [Emerald Publishing Limited]
卷期号:: 1-32
标识
DOI:10.1108/imds-06-2025-0874
摘要

Purpose Visually impaired users face significant digital exclusion due to inaccessible interfaces, perpetuating barriers in education, employment and social participation. While assistive interfacing technology (AIT) is pivotal for accessibility, its design often misaligns with the capabilities of the visually impaired, culminating in high abandonment rates. This study reconceptualizes AIT design through affordance theory to bridge the gap between functional features and effective usage. Design/methodology/approach Based on a systematic literature review, we applied affordance theory to synthesize empirical insights regarding operational input and informational output of AIT. Design principles were derived from diverse prescriptions of AIT in past studies to reveal how operational input and informational output should be designed to maximize accessibility. Findings Focal principles in terms of operational input include context-aware modality selection, minimalist reusable actions and automated action sequencing to reduce cognitive load. Likewise, focal principles of informational output include multimodal redundancy, proactive granular disclosure and precision-calibrated feedback. Essentially, sensory compensation is essential in designing both operational input and informational output of AIT. We pioneer an affordance-centered framework that explicitly connects designer features of AIT with the capabilities of visually impaired users. Originality/value We refine theory by foregrounding nonvisual perception dynamics and delivering theoretically grounded insights to guide disability-centered human–computer interaction. Practitioners would benefit from our work by gleaning actionable principles that can be incorporated into the design of AIT to maximize accessibility to digital resources for the visually impaired.
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