Psychophysiological signals associated with affective states.
Psychophysiological signals associated with affective states.
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DOI：
10.1109/iembs.2010.5627465
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Barbieri R
中科院分区：
文献类型：
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作者：
Mauri M;Magagnin V;Cipresso P;Mainardi L;Brown EN;Cerutti S;Villamira M;Barbieri R
我们提出了一项初步的定量研究，旨在开发一种与人机交互相关的特定情感状态的自动分类的最佳标准协议。这一目标主要是通过将标准的心理测试报告与通过同时非侵入性地获取感兴趣的心理生理信号(即呼吸、皮肤电反应、血容量脉搏、心电和脑电)而得出的定量测量进行比较来实现的。43名健康学生被暴露在计算机媒介的刺激下，同时应用可穿戴的非侵入性传感器来收集生理数据。这些刺激旨在引发三种截然不同的情感状态：放松、投入和压力。在这项工作中，我们报告了我们的定量分析如何帮助重新定义协议的重要方面，并展示了与三种目标情感状态相关的特定心理生理模式的初步发现。结果进一步表明，一些量化测量在描述特定情感状态方面可能是有用的。
We present a preliminary quantitative study aimed at developing an optimal standard protocol for automatic classification of specific affective states as related to human- computer interactions. This goal is mainly achieved by comparing standard psychological test-reports to quantitative measures derived from simultaneous non-invasive acquisition of psychophysiological signals of interest, namely respiration, galvanic skin response, blood volume pulse, electrocardiogram and electroencephalogram. Forty-three healthy students were exposed to computer-mediated stimuli, while wearable non-invasive sensors were applied in order to collect the physiological data. The stimuli were designed to elicit three distinct affective states: relaxation, engagement and stress. In this work we report how our quantitative analysis has helped in redefining important aspects of the protocol, and we show preliminary findings related to the specific psychophysiological patterns correlating with the three target affective states. Results further suggest that some of the quantitative measures might be useful in characterizing specific affective states.