Integrated data analysis for the quantification of emotional responses during video observation

Pierluigi Reali, S. Cerutti, A. Bianchi, Debora Bettiga, L. Lamberti, Alessandra Mazzola, M. Pillan
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引用次数: 2

Abstract

The use of questionnaires at the end of a specific task only evaluates what is expressed by the conscious mind and, therefore, cannot give a complete representation of the individual's emotional state. By adding data from physiological measures, such as cerebral activity, skin conductance, heart rate and gaze position, more accurate information about cognitive engagement and emotional responses to a given task could be provided. This study aims to evaluate participants' emotional (arousal, valence) and cognitive (memorization effort, attention, pleasantness) responses toward two videos, through the integration of above cited measures. Our findings show that the two tested videos produce two different unconscious reactions (one video causes a significantly higher increase in heart rate and the other one requires higher memorization effort), while producing similar conscious responses (no statistically significant differences were found by analyzing questionnaires' answers). Further, eye tracking device provided a way to investigate reasons behind these differences. The results show that the integration of self-reported and biological measures with eye tracking data could effectively help to understand emotional and cognitive responses during video observation.
视频观察中情绪反应量化的综合数据分析
在特定任务结束时使用调查问卷只能评估意识所表达的内容,因此不能完整地反映个人的情绪状态。通过添加生理测量数据,如大脑活动、皮肤电导、心率和凝视位置,可以提供关于认知参与和对给定任务的情绪反应的更准确信息。本研究旨在通过整合上述测量,评估参与者对两个视频的情绪(唤醒、效价)和认知(记忆努力、注意力、愉悦)反应。我们的研究结果表明,两个测试视频产生了两种不同的无意识反应(一个视频导致明显更高的心率增加,另一个视频需要更高的记忆努力),而产生了相似的意识反应(通过分析问卷的答案,没有发现统计学上的显著差异)。此外,眼动追踪设备提供了一种调查这些差异背后原因的方法。结果表明,将自我报告和生物测量与眼动追踪数据相结合,可以有效地帮助理解视频观察过程中的情绪和认知反应。
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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