• Clinical and Experimental Pediatrics
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• v.54 no.6
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• pp.229-233
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• 2011

In the pediatric literature, excessive crying has been reported solely in association with 3-month colic and is described, if at all, as unexplained crying and fussing during the first 3 months of life. The bouts of crying are generally thought to be triggered by abdominal colic (over-inflation of the still immature gastrointestinal tract), and treatment is prescribed accordingly. According to this line of reasoning, excessive crying is harmless and resolves by the end of the third month without long-term consequences. However, there is evidence that it may cause tremendous distress in the mother-infant relationship, and can lead to disorders of behavioral and emotional regulation at the toddler stage (such as sleep and feeding disorders, chronic fussiness, excessive clinginess, and temper tantrums). Early treatment of excessive crying focuses on parent-infant communication, and parent-infant interaction in the context of soothing and settling the infant to sleep is a promising approach that may prevent later behavioral and emotional disorders in infancy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.48-51
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• 2013

This paper described an emotional communication service based on context awareness. Especially it provides with a natural as-like a person communication in the interactive object service between machine and person. The machine should behave as naturally like human. For these things the service object has to provide the function which analyzing and storing users' behavior and handling it. This paper contains the way how to analyze and handle users' pattern by using context awareness. Furthermore, we have studied the method which makes users feel like talking with machine by re-writing messages through 'purpose-extraction algorithm' and 'message re-writing algorithm', which allow service become M2P on networks environment. Moreover we developed 'message recommending algorithm' which recommend several messages by analyzing users' past messages. This emotional communication technology can provide more efficient and user-friendly service by providing personified service on network. Furthermore we can expect this messenger system provided from emotional communication service based on context awareness can be applied a plenty of application services.

• SUVANNABHUMI
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• v.8 no.2
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• pp.113-129
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• 2016

Brunei Darussalam is a Malay Islamic Monarchy practicing and upholding traditional heritage. Brunei Darussalam is rich with tangible and intangible cultural heritage shaped by its way of life. One of the traditions maintained and preserved in the country is traditional textile weaving. The tradition covers both consumption and production. In the context of consumption, traditional textiles have multiple roles and symbolic meanings. In the context of production, the tradition showcases great skills and the distinctive cultural, social, intellectual, spiritual, and emotional values of the people of Brunei. This paper will explicate the distinctive values and characteristics of Brunei people from the practices of textile weaving.

• Journal of Sensor Science and Technology
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• v.30 no.6
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• pp.429-435
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• 2021

In this study, the creation of emotional dialogue was investigated within the process of developing a robot's natural language understanding and emotional dialogue processing. Unlike an English-based dataset, which is the mainstay of natural language processing, the Korean-based dataset has several shortcomings. Therefore, in a situation where the Korean language base is insufficient, the Korean dataset should be dealt with in detail, and in particular, the unique characteristics of the language should be considered. Hence, the first step is to base this study on a specific Korean dataset consisting of conversations on emotional topics. Subsequently, a model was built that learns to extract the continuous dialogue features from a pre-trained language model to generate sentences while maintaining the context of the dialogue. To validate the model, a chatbot system was implemented and meaningful results were obtained by collecting the external subjects and conducting experiments. As a result, the proposed model was influenced by the dataset in which the conversation topic was consultation, to facilitate free and emotional communication with users as if they were consulting with a chatbot. The results were analyzed to identify and explain the advantages and disadvantages of the current model. Finally, as a necessary element to reach the aforementioned ultimate research goal, a discussion is presented on the areas for future studies.

• Journal of Digital Convergence
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• v.10 no.2
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• pp.287-292
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• 2012

In this paper, user personalized services through the emotion perception required to support location-based sensing data preprocessing techniques and emotion data preprocessing techniques is studied for user's emotion data building and preprocessing in V-A emotion model. For this purpose the granular context tree and string matching based emotion pattern matching techniques are used. In addition, context-aware and personalized recommendation services technique using probabilistic reasoning is studied for personalized services based on context awareness.

• Journal of Korean Library and Information Science Society
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• v.35 no.2
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• pp.199-218
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• 2004

The purpose of this study is to examine the emotional and behavioral characteristics of information seeking of university students in context in which a class assignment should be completed. An attempt was made to understand better individualized and selective behavior observed while seeking information in the commonly defined context. Data was collected from content analysis of self-reports by 54 university students majoring in library and information science. Major findings were analyzed in relation to the preception and feelings over, and barriers and strategies of seeking information, and the use of information resources.

• Science of Emotion and Sensibility
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• v.23 no.3
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• pp.63-78
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• 2020

It is crucial to process not only social cognitive information but also various emotional information for appropriate social interaction in everyday life. The processing of emotions embedded in social stimuli is affected by various context and external factors and the features of their own. Emotion discrimination tasks using point-light biological motion were conducted in this study to understand the factors influencing emotion processing and their effects. A target biological motion with angry or happy emotion was presented in the first task in red, green, white, or yellow color. A white angry, happy, or neutral "cue" biological motion was displayed simultaneously. Participants judged the emotion of the target relative to the cue stimulus by comparing the target with the cue. The second task used only emotionally neutral stimuli to find effect by the color itself. The results indicated an association between the specific color of the target and emotion. Red facilitated processing anger, whereas green appeared to facilitate happy emotion. The discrimination accuracy was high when the emotions of the cue and the target were identical in general, but the combination of red color and anger yielded different results compared with the rest of the conditions. Some illusory emotional responses associated with the target colors were observed in the second task. We could observe the effects of external factors in this study, affecting the emotional processing using biological motion rather than conventional face stimuli. Possible follow-up studies and clinical research were discussed.

• Journal of Information Technology Applications and Management
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• v.21 no.4
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• pp.203-223
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• 2014

This study proposes a novel context-aware recommender system, which is designed to recommend the items according to the customer's responses to the previously recommended item. In specific, our proposed system predicts the user's emotional state from his or her responses (such as facial expressions and movements) to the previous recommended item, and then it recommends the items that are similar to the previous one when his or her emotional state is estimated as positive. If the customer's emotional state on the previously recommended item is regarded as negative, the system recommends the items that have characteristics opposite to the previous item. Our proposed system consists of two sub modules-(1) emotion prediction module, and (2) responsive recommendation module. Emotion prediction module contains the emotion prediction model that predicts a customer's arousal level-a physiological and psychological state of being awake or reactive to stimuli-using the customer's reaction data including facial expressions and body movements, which can be measured using Microsoft's Kinect Sensor. Responsive recommendation module generates a recommendation list by using the results from the first module-emotion prediction module. If a customer shows a high level of arousal on the previously recommended item, the module recommends the items that are most similar to the previous item. Otherwise, it recommends the items that are most dissimilar to the previous one. In order to validate the performance and usefulness of the proposed recommender system, we conducted empirical validation. In total, 30 undergraduate students participated in the experiment. We used 100 trailers of Korean movies that had been released from 2009 to 2012 as the items for recommendation. For the experiment, we manually constructed Korean movie trailer DB which contains the fields such as release date, genre, director, writer, and actors. In order to check if the recommendation using customers' responses outperforms the recommendation using their demographic information, we compared them. The performance of the recommendation was measured using two metrics-satisfaction and arousal levels. Experimental results showed that the recommendation using customers' responses (i.e. our proposed system) outperformed the recommendation using their demographic information with statistical significance.

• The Journal of the Korea Contents Association
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• v.15 no.12
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• pp.387-406
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• 2015

Recently emotional labor is an essential situation for hospital employees in relation to surface and deep acting as the core of emotional labor strategies. This study empirically examines the relation between hospital employees' emotional intelligence and emotional labor strategies in the context of emotional labor. For empirical experiments, we conducted a questionnaire survey targeting hospital employees, and we employed the method of Partial Least Squares (PLS) for data analysis. Major findings are as follows. Hospital employees' emotional intelligence including self emotion appraisal, others' emotion appraisal, regulation of emotion, and use of emotion, have a significantly positive effect on hospital employees' deep acting. And hospital employees' deep acting has a significantly positive effect on hospital employees' organizational attachment, knowledge sharing intentions, and innovative activities.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.82-92
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• 2019

The appropriate use of color and light can increase psychological stress or feelings of mental stability. As such, many people currently use color therapy, which provides relaxation and stability through color stimulation. Many people currently use color therapy, which provides relaxation and stability through color stimulation. The smartphone-based psychological color therapy system that is to be developed through the study is a method for relieving stress. This study examines a method of using smartphones to understand user's emotional information such as types of stress and to provide color therapy information regarding these emotions. The goal of this study is to use the user's smart phone to provide color therapy that employs the user's emotional information. The intelligent emotion system, which uses platforms such as mobile devices and the PC, was designed considering the user's context, and it provides the user with various data formats such as images, video, text, audio, to send results to the user. The system was developed in the form of a service-based mobile application. The study designed an emotional color therapy system that uses a smartphone to measure the user's stress and provides appropriate color therapy.