Tsui Wei-Hsuan, Lee Poming, Hsiao Tzu-Chien
Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:2870-3. doi: 10.1109/EMBC.2013.6610139.
The automatic emotion recognition technology is an important part of building intelligent systems to prevent the computers acting inappropriately. A novel approach for recognizing emotional state by their keystroke typing patterns on a standard keyboard was developed in recent years. However, there was very limited investigation about the phenomenon itself in the previous literatures. Hence, in our study, we conduct a controlled experiment to collect subjects' keystroke data in the different emotional states induced by facial feedback. We examine the difference of the keystroke data between positive and negative emotional states. The results prove the significance in the differences in the typing patterns under positive and negative emotions for all subjects. Our study provides an evidence for the reasonability about developing the technique of emotion recognition by keystroke.
自动情感识别技术是构建智能系统以防止计算机做出不当行为的重要组成部分。近年来，一种通过标准键盘上的按键敲击模式来识别情绪状态的新方法被开发出来。然而，以往文献中对这一现象本身的研究非常有限。因此，在我们的研究中，我们进行了一项对照实验，以收集在面部反馈诱导的不同情绪状态下受试者的按键数据。我们研究了积极和消极情绪状态下按键数据的差异。结果证明，所有受试者在积极和消极情绪下的打字模式差异具有显著性。我们的研究为通过按键开发情感识别技术的合理性提供了证据。
