Physiological responses related to pleasant and unpleasant sounds

Corinna Vitale, Paola De Stefano, Riccardo Lolatto, A. Bianchi
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引用次数: 2

Abstract

Sound is a crucial factor in everyday life, since it impacts on people feelings and reactions to circumstances. Therefore, classifying sounds based on experiential, physiological, and behavioral responses becomes a key factor in the under-standing of the relationship between sound and emotions. As reported in the literature, since using a single type of analysis results to be only partially reliable, there is an increasing demand of integration among the various kind of analyses. The aim of this study is to integrate both physiological and self-reported outcomes, in order to provide a more accurate information about the emotions induced by pleasant and unpleasant audio stimuli. In particular, several indices were extracted from physiological signals, which were matched with self-reported outcomes. The results of this study show that cardiac response in terms of sympathetic activation is significantly different for the two types of acoustic artefacts. To further support the physiological responses results, statistical analysis of Loudness, Roughness and Sharpness values was performed. The two types of stimuli seemed to be characterized by significantly different levels of Loudness and Roughness, which were found higher for unpleasant stimuli. Therefore, it is possible to conclude that only one type of measure is not always sufficient to characterize the emotional response to sounds and more than one measure is needed as indicator of listener emotions.
与悦耳和不悦耳的声音有关的生理反应
声音在日常生活中是一个至关重要的因素,因为它影响着人们的感受和对环境的反应。因此,基于经验、生理和行为反应对声音进行分类成为理解声音与情绪关系的关键因素。正如文献中所报道的那样,由于使用单一类型的分析结果只能部分可靠,因此在各种分析之间集成的需求越来越大。本研究的目的是整合生理和自我报告的结果,以提供关于愉快和不愉快的音频刺激引起的情绪的更准确的信息。特别是,从生理信号中提取了几个指标,这些指标与自我报告的结果相匹配。本研究结果表明,在交感神经激活方面,心脏反应对两种类型的声学伪影有显著不同。为了进一步支持生理反应结果,对响度、粗糙度和锐度值进行统计分析。这两种类型的刺激似乎具有显著不同的响度和粗糙度水平,令人不快的刺激的响度和粗糙度更高。因此,可以得出结论,只有一种测量方法并不总是足以表征对声音的情绪反应,需要不止一种测量方法作为听者情绪的指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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