Browsing by Author "Tsui, Wei-Hsuan"

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Affective Pattern Analysis of Image in Frequency Domain Using the Hilbert-Huang Transform
(2012)
Lee, Poming
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Tsui, Wei-Hsuan
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Teng, Yun
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Hsiao, Tzu-Chien
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資訊工程學系
This study applied Hilbert-Huang Transform (HHT) on spatial-frequency analysis on affective picture classification. The obtained results demonstrate the existence of affective characteristics in spatial-frequency domain of an image, and also found the horizontal visual stimulations are slightly more effective than vertical visual stimulation on emotion elicitation in regard to valence.
The Effect of Emotion on Keystroke: An Experimental Study Using Facial Feedback Hypothesis
(2013)
Tsui, Wei-Hsuan
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Lee, Poming
;
Hsiao, Tzu-Chien
;
交大名義發表
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分子醫學與生物工程研究所
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.
The Influence of Emotion on Keyboard Typing: An Experimental Study Using Auditory Stimuli
(2015-06-11)
Lee, Po-Ming
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Tsui, Wei-Hsuan
;
Hsiao, Tzu-Chien
;
分子醫學與生物工程研究所
;
資訊工程學系
In recent years, a novel approach for emotion recognition has been reported, which is by keystroke dynamics. The advantages of using this approach are that the data used is rather non-intrusive and easy to obtain. However, there were only limited investigations about the phenomenon itself in previous studies. Hence, this study aimed to examine the source of variance in keyboard typing patterns caused by emotions. A controlled experiment to collect subjects\' keystroke data in different emotional states induced by International Affective Digitized Sounds (IADS) was conducted. Two-way Valence (3) x Arousal (3) ANOVAs was used to examine the collected dataset. The results of the experiment indicate that the effect of arousal is significant in keystroke duration (p < .05), keystroke latency (p < .01), but not in the accuracy rate of keyboard typing. The size of the emotional effect is small, compared to the individual variability. Our findings support the conclusion that the keystroke duration and latency are influenced by arousal. The finding about the size of the effect suggests that the accuracy rate of emotion recognition technology could be further improved if personalized models are utilized. Notably, the experiment was conducted using standard instruments and hence is expected to be highly reproducible.
The influence of emotion on keyboard typing: an experimental study using visual stimuli
(2014-06-20)
Lee, Po-Ming
;
Tsui, Wei-Hsuan
;
Hsiao, Tzu-Chien
;
分子醫學與生物工程研究所
;
資訊工程學系
Background: Emotion recognition technology plays the essential role of enhancement in Human-Computer Interaction (HCI). In recent years, a novel approach for emotion recognition has been reported, which is by keystroke dynamics. This approach can be considered to be rather desirable in HCI because the data used is rather non-intrusive and easy to obtain. However, there were only limited investigations about the phenomenon itself in previous studies. This study aims to examine the source of variance in keystroke typing patterns caused by emotions. Methods: A controlled experiment to collect subjects' keystroke data in different emotional states induced by International Affective Picture System (IAPS) was conducted. Two-way Valence (3) x Arousal (3) ANOVAs were used to examine the collected dataset. Results: The results of the experiment indicate that the effect of emotion is significant (p < .001) in the keystroke duration, keystroke latency, and accuracy rate of the keyboard typing. However, the size of the emotional effect is small, compare to the individual variability. Conclusions: Our findings support the conclusion that the keystroke duration, keystroke latency, and also the accuracy rate of typing, are influenced by emotional states. Notably, the finding about the size of effect suggests that the accuracy rate of the emotion recognition could be further improved if personalized models are utilized. On the other hand, the finding also provides an explanation of why real-world applications which authenticate the identity of users by monitoring keystrokes may not be interfered by the emotional states of users. The experiment was conducted using standard instruments and hence is expected to be highly reproducible.
The influence of emotion on keyboard typing: an experimental study using visual stimuli
(2014-06-20)
Lee, Po-Ming
;
Tsui, Wei-Hsuan
;
Hsiao, Tzu-Chien
;
分子醫學與生物工程研究所
;
資訊工程學系
Background: Emotion recognition technology plays the essential role of enhancement in Human-Computer Interaction (HCI). In recent years, a novel approach for emotion recognition has been reported, which is by keystroke dynamics. This approach can be considered to be rather desirable in HCI because the data used is rather non-intrusive and easy to obtain. However, there were only limited investigations about the phenomenon itself in previous studies. This study aims to examine the source of variance in keystroke typing patterns caused by emotions. Methods: A controlled experiment to collect subjects\' keystroke data in different emotional states induced by International Affective Picture System (IAPS) was conducted. Two-way Valence (3) x Arousal (3) ANOVAs were used to examine the collected dataset. Results: The results of the experiment indicate that the effect of emotion is significant (p < .001) in the keystroke duration, keystroke latency, and accuracy rate of the keyboard typing. However, the size of the emotional effect is small, compare to the individual variability. Conclusions: Our findings support the conclusion that the keystroke duration, keystroke latency, and also the accuracy rate of typing, are influenced by emotional states. Notably, the finding about the size of effect suggests that the accuracy rate of the emotion recognition could be further improved if personalized models are utilized. On the other hand, the finding also provides an explanation of why real-world applications which authenticate the identity of users by monitoring keystrokes may not be interfered by the emotional states of users. The experiment was conducted using standard instruments and hence is expected to be highly reproducible.