为神经分化用户提供包容性和适应性的人与人工智能交互设计的范围审查
Zhan Xu1, Feng Liu2, Guobin Xia3
1School of Textiles and Design, Heriot-Watt University, UK.
Disability and rehabilitation. Assistive technology
|November 12, 2025
概括
人工智能 (AI) 显示出支持神经多样性个体的前景,但当前的研究往往排除了用户参与,忽视了关键挑战. 未来的人工智能开发必须优先考虑包容性,个性化和道德考虑,以获得公平的结果.
科学领域:
- 人与计算机的交互
- 人工智能的人工智能
- 神经多样性研究 神经多样性研究
背景情况:
- 对神经多样性的越来越多的认可需要定制的技术解决方案.
- 现有的人工智能 (AI) 应用程序需要对包容性设计进行评估.
- 了解神经多样性用户的独特需求 (例如,自闭症谱系障碍,多动症,阅读障碍) 对于有效的技术开发至关重要.
研究的目的:
- 为神经多样性用户审查人工智能技术的设计和应用.
- 检查AI系统类型,应用领域和设计策略.
- 确定人工智能对神经多样性的挑战和伦理考虑.
主要方法:
- 在主要学术数据库 (2019-2025) 进行系统的文献搜索.
- 基于纳入标准的117篇同行评审论文的分析.
- 主题分析涵盖技术特征,设计,用户参与,有效性和道德.
主要成果:
- 人工智能应用正在教育,医疗,康复和工作场所扩展.
- 多模式接口和自适应反提高了可用性,但研究是分散的.
- 在神经差异化用户参与,解决异质性和减轻偏见方面存在重大差距.
结论:
- 人工智能为神经多样性个体提供了个性化和包容性支持的潜力.
- 进步需要跨学科的合作,参与式的共同设计和长期的评估.
- 伦理原则 (公平,透明,可访问性) 对于公平的人工智能发展至关重要.
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