探索人与多机器人通过自然语言无缝协作的未来环境设计。
Towards Natural Language Environment: Understanding Seamless Natural-Language-Based Human-Multi-Robot Interactions
- 构建以自然语言为核心的多机器人交互设计空间
- 通过虚拟现实角色扮演揭示人类协作认知模式
- 揭示任务主导权、机器人自主性与个性的平衡挑战
随着未来家庭中多机器人共存成为趋势，自然语言正被视为人机及机间通信的主要媒介。本文提出‘自然语言环境’（NLE）概念，即人类与多种异构机器人主要通过自然语言进行协调的交互空间。本文不提供可部署系统，而是旨在探索此类环境的设计空间。首先，综合已有语言驱动人机交互研究，构建初步的NLE设计空间；随后，在虚拟现实中开展角色扮演实验，探究人们在该设想环境中对多机器人交互的概念化、协商与协调方式。基于质性与量化分析，进一步完善设计空间，并提炼出关于任务协调主导权、机器人自主性与个性的关键设计启示。
原文摘要 · Abstract (English)
As multiple robots are expected to coexist in future households, natural language is increasingly envisioned as a primary medium for human-robot and robot-robot communication. This paper introduces the concept of a Natural Language Environment (NLE), defined as an interaction space in which humans and multiple heterogeneous robots coordinate primarily through natural language. Rather than proposing a deployable system, this work aims to explore the design space of such environments. We first synthesize prior work on language-based human-robot interaction to derive a preliminary design space for NLEs. We then conduct a role-playing study in virtual reality to investigate how people conceptualize, negotiate, and coordinate human-multi-robot interactions within this imagined environment. Based on qualitative and quantitative analysis, we refine the preliminary design space and derive design implications that highlight key tensions and opportunities around task coordination dominance, robot autonomy, and robot personality in Natural Language Environments.
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