论文标题
人工ASMR：一种网络心理学方法
Artificial ASMR: A Cyber-Psychological Approach
论文作者
论文摘要
在过去的十年中，自主感觉子午响应（ASMR）的流行一直在跳动，但是关于确切触发ASMR效应的科学研究仍然很少且不成熟，最常见的触发因素是ASMR剪辑通常提供丰富的语义信息。我们注意到ASMR音频中常见的声学模式引起了人们的注意，我们研究了音频信号的循环特征与它们在触发ASMR效应方面的有效性之间的相关性。采用了一种结合信号处理，人工智能和实验心理学的网络心理学方法，我们能够使用它来量化与ASMR相关的声学特征，从而合成具有随机循环模式的ASMR剪辑，但不能向受众提供识别场景，这些场景可有效地触发ASMR效应。
The popularity of Autonomous Sensory Meridian Response (ASMR) has skyrockted over the past decade, but scientific studies on what exactly triggered ASMR effect remain few and immature, one most commonly acknowledged trigger is that ASMR clips typically provide rich semantic information. With our attention caught by the common acoustic patterns in ASMR audios, we investigate the correlation between the cyclic features of audio signals and their effectiveness in triggering ASMR effects. A cyber-psychological approach that combines signal processing, artificial intelligence, and experimental psychology is taken, with which we are able to quantize ASMR-related acoustic features, and therewith synthesize ASMR clips with random cyclic patterns but not delivering identifiably scenarios to the audience, which were proven to be effective in triggering ASMR effects.
