基于实时生理反应的持续觉醒自我评估验证

Ting Li, Yoann Baveye, Christel Chamaret, E. Dellandréa, Liming Chen
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引用次数: 39

摘要

一方面,皮肤电反应(GSR)与用户情感唤醒高度相关的事实为将GSR应用于情感检测提供了可能。另一方面,实时GSR与觉醒自我评价的时间相关性研究尚未得到很好的研究。本文对从LIRIS-ACCEDE数据库中提取的30部电影的观看过程中产生的情感进行了两种表现形式的研究。虽然连续的唤醒注释是由5名使用操纵杆的参与者自我评估的,但其他13名受试者的实时GSR信号应该是捕捉用户的情绪反应,客观地不需要用户的解释。作为主要贡献,本文介绍了一种方法,使这两个信号的时间比较成为可能。因此,计算了所有30部电影的连续觉醒峰值与GSR之间的时间相关性。全局Pearson相关系数为0.264,Spearman等级相关系数为0.336。这一结果证明了使用这两种信号来测量唤醒的有效性,并为分析这两种信号绘制了一个可靠的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Continuous Arousal Self-assessments Validation Using Real-time Physiological Responses
On one hand, the fact that Galvanic Skin Response (GSR) is highly correlated with the user affective arousal provides the possibility to apply GSR in emotion detection. On the other hand, temporal correlation of real-time GSR and self-assessment of arousal has not been well studied. This paper confronts two modalities representing the induced emotion when watching 30 movies extracted from the LIRIS-ACCEDE database. While continuous arousal annotations have been self-assessed by 5 participants using a joystick, real-time GSR signal of 13 other subjects is supposed to catch user emotional response, objectively without user's interpretation. As a main contribution, this paper introduces a method to make possible the temporal comparison of both signals. Thus, temporal correlation between continuous arousal peaks and GSR were calculated for all 30 movies. A global Pearson's correlation of 0.264 and a Spearman's rank correlation coefficient of 0.336 were achieved. This result proves the validity of using both signals to measure arousal and draws a reliable framework for the analysis of such signals.
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