打造可流畅纠错的机器人交互原型，提升人机对话自然度
Achieving Interaction Fluidity in a Wizard-of-Oz Robotic System: A Prototype for Fluid Error-Correction
- 提出可中断与可纠错、可测量延迟、时间精准复现等关键标准
- 构建支持实时纠错的虚拟现实机器人交互仿真环境
- 适合研究人机交互流畅性与语音系统优化的团队使用
实现真正流畅的语音交互机器人仍是一大难题，当前人机交互体验依然笨拙且令人沮丧。部分障碍源于缺乏合适的开发平台来提升交互质量，即使在用于数据收集和原型设计的机器人沃兹模式（WoZ）中也存在此问题。基于已有系统，我们提出中断性与纠错性（IaC）、可轮询性、延迟测量与优化、以及日志数据驱动的动作时间精准复现作为流畅沃兹系统的核心标准。最后，我们展示了一个满足上述标准的虚拟现实（VR）人机交互仿真环境，适用于移动操作机器人。
原文摘要 · Abstract (English)
Achieving truly fluid interaction with robots with speech interfaces remains a hard problem, and the experience of current Human-Robot Interaction (HRI) remains laboured and frustrating. Some of the barriers to fluid interaction stem from a lack of a suitable development platform for HRI for improving interaction, even in robotic Wizard-of-Oz (WoZ) modes of operation used for data collection and prototyping. Based on previous systems, we propose the properties of interruptibility and correction (IaC), pollability, latency measurement and optimisation and time-accurate reproducibility of actions from logging data as key criteria for a fluid WoZ system to support fluid error correction. We finish by presenting a Virtual Reality (VR) HRI simulation environment for mobile manipulators which meets these criteria.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。