TICK:一种知识处理基础设施,用于对人机交互的认知信任
Mohammed Diab1, Yiannis Demiris1
1Personal Robotics Laboratory, Imperial College London, South Kensington Campus, London, UK.
International journal of social robotics
|December 29, 2025
概括
一个新的认知知识信任推断基础设施 (TICK) 框架通过实现共享知识和信任评估来增强人机交互. 这个系统可以提高机器人的理解和可靠性,在现实世界的场景.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 认知科学 认知科学
背景情况:
- 评估对人机交互 (HRI) 的信任对于社会和辅助机器人技术至关重要.
- 现有的系统缺乏统一的认知基础设施,用于共享知识和信任评估.
- 对于促进对HRI信任的域异常解决方案的需求正在增长.
研究的目的:
- 引入和评估HRI领域的认知知识信任推断基础设施 (TICK).
- 为共享知识开发一个无主体的本体学,包括行为,信念,意图和情境意识.
- 使参与者能够采取行动,与HRI的其他各方建立信任.
主要方法:
- 为共享知识开发了一种分层的,域异的本体学.
- 介绍了TICK框架的三个构造:性能,过程和目的.
- 集成了一个多式传感模块,用于增强机器人的推理,并通过现实世界的场景和实验室实验验证.
主要成果:
- TICK增强了机器人的理解人类意图,情境意识和个性化的行为能力.
- 机器人的可信度是基于性能而发展的,通过近距离和遵守推来自动评估信任.
- 实验证明了TICK在厨房域移交任务中的可扩展性和灵活性.
结论:
- TICK框架提供了一个强大的认知基础设施,用于评估和建立对HRI的信任.
- 多式联动感官集成和分层本体学允许适应性和有效的人机协作.
- 这项研究证实了TICK对各种HRI应用的潜力,这些应用需要信任和共享理解.
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