通过声学设计可系统诱发ASMR，关键在于循环模式的可预测性与变化性平衡
Is ASMR Engineerable? A Signal Processing and User Experience Study
- 设计不同可预测性与随机性的循环声学模式，研究其对ASMR的影响
- 能量密集、平滑扩散的循环声最有效触发ASMR，效果随时间累积且不依赖空间方向
- 首次建立声学结构与主观体验间的可解释映射，适合音频工程与用户体验研究者
自主感官巅峰反应（ASMR）近年来广受欢迎，但其是否可被刻意设计仍存疑问。尽管已有行为学和神经生理学研究（如脑电图EEG）验证了其效果，但触发机制仍不清楚。本研究探究是否可通过受控声学设计系统诱导ASMR，假设循环模式中可预测性带来放松、变化性维持好奇是关键可调控参数。我们设计了不同可预测性与随机性的循环声音，并通过结构化用户研究评估其影响。采用信号处理特征提取与回归分析，建立声学结构与感知ASMR效果之间的可解释映射。结果表明，放松效果逐步积累，与空间方位无关，且时间稳定性高。最关键的是，能量密集、平滑扩散的循环声最有效触发ASMR，说明在信号层面实现ASMR体验工程化是可行的。
原文摘要 · Abstract (English)
Autonomous Sensory Meridian Response (ASMR) has been remarkably popular in the recent decade, yet whether its effects can be deliberately engineered remains an open question. While ASMR effects validated through behavioral studies and neuro-physiological measurements such as electroencephalography (EEG) and related bio-signals, the acoustic mechanisms that trigger it remain poorly understood. We investigate whether ASMR responses can be systematically induced through controlled acoustic design, hypothesizing that cyclic patterns where predictability drives relaxation and variation sustains intrigue are key engineerable parameters. Specifically, we design cyclic sound patterns with varying predictability and randomness, and evaluate their effects via a structured user study. Signal processing-based feature extraction and regression analysis are used to establish an interpretable mapping between acoustic structure and perceived ASMR effects. Results show that relaxing effects accumulate progressively, are independent of spatial orientation, and remain stable across time. Crucially, smoothly spread, energy-dense cyclic patterns most effectively trigger ASMR, suggesting that signal-level engineering of ASMR experiences is achievable
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