HCI过程中无聊和负性情绪的心理生理关联研究

Dimitrios Giakoumis, A. Vogiannou, Ilkka Kosunen, K. Moustakas, D. Tzovaras, G. Hassapis
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引用次数: 27

摘要

本文介绍了在HCI过程中由于受试者失去兴趣而导致的无聊和沮丧等负面情绪的自动识别工作。重点是未来开发利用“情感回路”的系统的基本先决条件,即对人类情感状态的有效识别。基于“重复导致兴趣丧失”的概念,开展了一项监测和分析重复HCI任务期间生物信号的实验。在这个实验中,研究对象被要求反复玩一个简单的基于迷宫的3D视频游戏,同时监测来自不同模式的生物信号。21名不同的受试者参与了实验,从而建立了一个丰富的生物信号数据库。从实验中使用的两种模式(ECG和GSR)中提取的特征与受试者的实际情感状态之间存在统计学上显著的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying Psychophysiological Correlates of Boredom and Negative Mood Induced during HCI
This paper presents work conducted towards the automatic recognition of negative emotions like boredom and frustration, induced due to the subject’s loss of interest during HCI. Focus was on the basic pre-requisite for the future development of systems utilizing an “affective loop”, namely effective recognition of the human affective state. Based on the concept of “repetition that causes loss of interest”, an experiment for the monitoring and analysis of biosignals during repetitive HCI tasks was deployed. During this experiment, subjects were asked to play a simple labyrinth-based 3D video game repeatedly, while biosignals from different modalities were monitored. Twenty one different subjects participated in the experiment, allowing for a rich biosignals database to be populated. Statistically significant correlations were identified between features extracted from two of the modalities used in the experiment (ECG and GSR) and the actual affective state of the subjects.
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