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arXiv 2608.20433cs.ROcs.HCcs.MMcs.SD

类人音乐机器人作为音乐诱发情绪研究的实验接口

Humanoid Musical Robots as Experimental Interfaces for Music-Evoked Emotion

Vincent K. M. Cheung, Jia-Yeu Lin

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中文总结 AI 辅助

本文提出将类人音乐机器人作为音乐诱发情绪研究的实验接口,通过WAS-5案例验证其技术可行性,为该领域可控研究提供方法论平台。

中文摘要 AI 辅助

技术进步催生了日益精密的类人音乐机器人,但其应用大多局限于表演及人机交互相关研究。本文提出新视角:将类人音乐机器人作为研究音乐诱发情绪的实验接口。当前研究受限于依赖预录听觉刺激的范式,无法捕捉现实音乐体验的多模态、具身化与交互性特征。基于现有音乐认知与情绪理论,本文识别出需对声学与非声学变量进行可控操控的机制。类人机器人因能对表演变量进行参数化控制、保证实验可重复性、实现听觉、视觉及交互组件的解耦与重组,非常适合作为实验接口。本文通过早稻田萨克斯机器人5号(WAS-5)的案例研究,验证了该视角的技术可行性,展示了对声学与交互变量的可重复控制,这是未来音乐-情绪实验的必要前提。本研究将类人音乐机器人定位为方法论平台,为未来音乐诱发情绪的可控研究提供支持。

英文摘要

Advances in technology have led to increasingly sophisticated musical humanoid robots. However, their use has largely been limited to performance and related research in human-robot interaction. In this position paper, we propose a novel perspective: musical humanoid robots as experimental interfaces for investigating music-evoked emotions. We argue that current research is constrained by paradigms relying on pre-recorded auditory stimuli, which fail to capture the multimodal, embodied, and interactive nature of real-world musical experience. Building on existing theories of music cognition and emotion, we identify mechanisms that require controlled manipulation of both acoustic and non-acoustic variables. We show that humanoid robots are well-suited as they enable parametric control of performance variables, reproducibility across trials, and the decoupling and recombination of auditory, visual, and interactive components. We illustrate the technical feasibility of this perspective through a case study of the WAseda Saxophonist Robot 5 (WAS-5), demonstrating reproducible control of acoustic and interaction variables that are prerequisites for future music-emotion experiments. Our work positions musical humanoid robots as a methodological platform that enables future controlled investigations of music-evoked emotions.

发表机构

  • Sony Computer Science Laboratories(索尼计算机科学实验室)
  • Waseda University(早稻田大学)

机构由 AI 辅助整理,请以论文原文为准。

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