工作与卢布和失败在人类和机器人之间的对话:工作坊报告报告
Frank Förster1, Marta Romeo2,3, Patrick Holthaus1
1Department of Computer Science, School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, United Kingdom.
Frontiers in robotics and AI
|December 18, 2023
概括
研究人员探索了人机通信失败,以改进机器人的语音接口. 研讨会确定了关键问题,并提出了未来研发的基准情景.
科学领域:
- 人与机器人的交互 (HRI)
- 计算语言学 计算语言学
- 认知科学 认知科学
背景情况:
- 人机交互 (HRI) 中的错误沟通需要进行系统的研究.
- 跨学科的合作对于推进HRI对话系统至关重要.
研究的目的:
- 建立一个网络来调查机器人语音接口中的沟通故障.
- 绘制人机通信故障的地图.
- 定义一个测试HRI语音接口的基准场景.
主要方法:
- 组织了一个跨学科研讨会,与机器人,HRI,对话系统,对话分析,认知科学和语言学专家.
- 调查了人机通信的"失败景观".
- 讨论并提出了一个测试语音接口的基准场景.
主要成果:
- 在人机交互中确定了关键挑战和错误沟通的领域.
- 概述了特定于机器人语音接口的"故障格局".
- 发起了用于评估HRI系统的基准场景的开发.
结论:
- 对通信故障的系统分析对于改善人机交互至关重要.
- 跨学科的方法对于应对复杂的HRI挑战至关重要.
- 一个定义的基准场景可以指导机器人语音接口的未来研究和开发.
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