在自主系统中自动生成解释:在智能家居环境中增强人类互动
Oscar Peña-Cáceres1, Antoni Mestre2, Manoli Albert2
1Departament d'Informàtica, Universitat de València, Valencia, Spain.
PeerJ. Computer science
|September 24, 2025
概括
本研究介绍了智能家居的解释生成系统,增强用户对自适应自主系统的信任. 个性化解释可以提高对系统行为的理解和接受.
科学领域:
- 人工智能的人工智能
- 人与计算机的交互
- 智能环境 智能环境
背景情况:
- 智能环境中的自主系统根据环境调整行为.
- 适应可以导致用户难以理解和信任系统.
- 缺乏透明度阻碍了用户的采用和满意度.
研究的目的:
- 开发和评估适应式智能家居系统的解释生成系统.
- 为了增强用户对运行时系统行为的理解和信任.
- 根据用户特征和系统上下文来定制解释.
主要方法:
- 提出了一个基于提示的策略,使用一个微调的大型语言模型.
- 开发了一个模块化模板,集成用户配置文件,系统信息和适应细节.
- 对118名参与者进行了一项实验,以评估用户体验.
主要成果:
- 用户对生成的解释有积极的看法.
- 报告显示,系统生成的解释得到了很高的接受度.
- 基于用户和上下文的定制改善了解释质量.
结论:
- 解释生成系统有效地阐明了智能环境中的适应性行为.
- 个性化,自然语言解释促进用户的信任和接受.
- 这种方法对改善自主系统中人类-人工智能交互有希望.
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