• Science of Emotion and Sensibility
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• v.24 no.1
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• pp.91-104
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• 2021

This study explored users' emotional states identified from the wake-up words -"Hi, KIA!"- using a machine learning algorithm considering the user interface of passenger cars' voice. We targeted four emotional states, namely, excited, angry, desperate, and neutral, and created a total of 12 emotional scenarios in the context of car driving. Nine college students participated and recorded sentences as guided in the visualized scenario. The wake-up words were extracted from whole sentences, resulting in two data sets. We used the soundgen package and svmRadial method of caret package in open source-based R code to collect acoustic features of the recorded voices and performed machine learning-based analysis to determine the predictability of the modeled algorithm. We compared the accuracy of wake-up words (60.19%: 22%~81%) with that of whole sentences (41.51%) for all nine participants in relation to the four emotional categories. Accuracy and sensitivity performance of individual differences were noticeable, while the selected features were relatively constant. This study provides empirical evidence regarding the potential application of the wake-up words in the practice of emotion-driven user experience in communication between users and the artificial intelligence system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.9
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• pp.4518-4540
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• 2019

With the development of IT convergence technology, autonomous driving has gradually developed; however, the vehicle is still operated by the driver, who should always be in good health - but sometimes, this is not the case. It is especially dangerous to drive when drowsy, and unable to fully concentrate on driving, such as when taking certain medicines, or through fatigue. Drowsy driving is at least eight times more dangerous than normal driving, and as dangerous as drunk driving. Previous research has looked at technology to detect drowsiness, in order to wake up drivers when necessary, or to safely stop the vehicle. Furthermore, many studies have been conducted to find out when drowsiness occurs. However, it is more desirable for the driver to take sufficient rest during a break, in order to be able to continue to focus and drive. In other words, it is important to maintain a normal state before drowsiness. In this study, we introduce a sound source to increase driver concentration and prevent drowsiness, another that can improve the quality of sleep, and a system that produces these sound sources. The proposed system has a noise reduction effect of about 15 dB. We have confirmed that the proposed sound induces an EEG of the desired form.

• Industry Promotion Research
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• v.9 no.1
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• pp.189-202
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• 2024

It is not the water veins themselves that are distributed on Earth that are harmful, but the water vein waves generated from the water veins are harmful to human health. The natural frequency of the Earth is 7.83 Hz, but in order to sleep deeply, you must go down to a delta wave of 2 to 3.99 Hz, which is lower than this frequency, to achieve the deepest sleep and maintain your health. However, if you sleep in a place with dowsing waves, the dowsing waves interfere with your brain waves, making it difficult to sleep well, and you may have nightmares. Even when you wake up, your body is not refreshed and your fatigue does not go away, so you feel tired and tired easily. If this phenomenon continues, the body's resistance decreases and immunity weakens, which can eventually cause illness and cause various diseases, which can harm one's health. In other words, the safest and most effective way to deal with water veins is to avoid places with water veins and simply change your sleeping position to a place without water veins, and you can live a healthy and happy life through examples.