• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.1
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• pp.37-42
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• 2006

Recently, studying on modeling the emotion of a robot has become issued among fields of a humanoid robot and an interaction of human and robot. Especially, modeling of the motivation, the emotion, the behavior. and so on, in the robot, is hard and need to make efforts to use ow originality. In this paper, new modeling using mathematical formulations to represent the emotion and the behavior selection is proposed for the software robot with virtual sensor modules. Various points which affect six emotional states such as happy or sad are formulated as simple exponential equations with various parameters. There are several experiments with seven external sensor inputs from virtual environment and human to evaluate this modeling.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.575-584
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• 2021

This research aims to examine and analyze the impact of customer shifting behavior on the shopping emotion. Based on impulse buying, customers tend to behave recently based on the constructed variables of impulse buying, outlet ambience, hedonic shopping value utilitarian shopping value, and shopping emotion. This study employs samples/survey data of the population consisted of Asian women parents in Indonesia. The survey data of this research is based on observations using time series with cross-section/one-shot, which was done in 2019. The results indicate that variable outlet ambience, hedonic shopping value, and shopping emotion have a positive and significant impact on impulse buying. Whereas the utilitarian shopping value variable has a positive but not significant relationship against impulse buying. There is a positive influence between ambience outlets and utilitarian shopping value on shopping emotion. The variable hedonic shopping value has a negative and not significant relationship towards shopping emotion. The finding of this study suggests that both the retail stores and even the superstores must pay more attention to the design of outlet ambience to create the hedonic shopping value and eventually may attempt the attention of the impulse buying customers.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.1
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• pp.53-73
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• 2014

Given that emotion-based computing environment has grown recently, it is necessary to focus on emotional access and use of multimedia resources including images. The purpose of this study aims to identify the visual cues for emotion in images. In order to achieve it, this study selected five basic emotions such as love, happiness, sadness, fear, and anger and interviewed twenty participants to demonstrate the visual cues for emotions. A total of 620 visual cues mentioned by participants were collected from the interview results and coded according to five categories and 18 sub-categories for visual cues. Findings of this study showed that facial expressions, actions / behaviors, and syntactic features were found to be significant in terms of perceiving a specific emotion of the image. An individual emotion from visual cues demonstrated distinctive characteristics. The emotion of love showed a higher relation with visual cues such as actions and behaviors, and the happy emotion is substantially related to facial expressions. In addition, the sad emotion was found to be perceived primarily through actions and behaviors and the fear emotion is perceived considerably through facial expressions. The anger emotion is highly related to syntactic features such as lines, shapes, and sizes. Findings of this study implicated that emotional indexing could be effective when content-based features were considered in combination with concept-based features.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06a
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• pp.255-258
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• 2011

An application of Gammatone auditory filterbank for emotion recognition from speech is described in this paper. Gammatone filterbank is a bank of Gammatone filters which are used as a preprocessing stage before applying feature extraction methods to get the most relevant features for emotion recognition from speech. In the feature extraction step, the energy value of output signal of each filter is computed and combined with other of all filters to produce a feature vector for the learning step. A feature vector is estimated in a short time period of input speech signal to take the advantage of dependence on time domain. Finally, in the learning step, Hidden Markov Model (HMM) is used to create a model for each emotion class and recognize a particular input emotional speech. In the experiment, feature extraction based on Gammatone filterbank (GTF) shows the better outcomes in comparison with features based on Mel-Frequency Cepstral Coefficient (MFCC) which is a well-known feature extraction for speech recognition as well as emotion recognition from speech.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.6
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• pp.1171-1180
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• 2019

Emotion is a psycho-physiological process that plays an important role in human interactions. Affective computing is centered on the development of human-aware artificial intelligence that can understand and regulate emotions. This field of study is also critical as mental diseases such as depression, autism, attention deficit hyperactivity disorder, and game addiction are associated with emotion. Despite the efforts in emotions recognition and emotion detection from nonstationary, detecting emotions from abnormal EEG signals requires sophisticated learning algorithms because they require a high level of abstraction. In this paper, we investigated LSTM hyperparameters for an optimal emotion EEG classification. Results of several experiments are hereby presented. From the results, optimal LSTM hyperparameter configuration was achieved.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.04a
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• pp.189-190
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• 2000

The purpose of this study is to estimate of design and ambience of goods by using 5 Kansei design items (shape, color, sense of material, fit, functionality/convenience). This paper describe that effectiveness of 5 Kansei design items. selecting image words and correspondence of 5 Kansei design items with image words. Kansei design items, selecting image words and correspondence of 5 Kansei design items with image words. (image words: the word describing about item image)

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.04a
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• pp.191-194
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• 2000

This study's purpose of estimate of design and ambiance of goods by using 5 Kansei design items. 5 Kansei design items are shape, color, sense of material, fit and functionality/convenience.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2004.11a
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• pp.13-13
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• 2004

• Journal of Science Education
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• v.43 no.3
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• pp.300-317
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• 2019

This study aims to find how storytelling classes using fairy tales related to science museum exhibits have an effect on positive experience about science. For this study, the theoretical background and preceding studies on the relevance of science education and literature were collected and based on the characteristics of assimilation and the educational value of assimilation, naturally connected to the exhibits in relation to their own life, so that individuals could explore science even out-of-school. Four types of activities were developed by linking four fairy tales mentioned in elementary school textbooks to the G science museum exhibits. Seven elementary school teachers verified the validity of the activity materials. Classes through the developed activity materials were conducted four times in a row, one and a half hours at every turn for 10 students. A positive experience about science test was conducted on the students in a study to confirm that this activity has caused significant changes in science academic emotion among sub-domains of positive experience about science. In order to find the factors that affected the science academic emotion, we interviewed the students in the study and their parents. The results of this study show that the use of fairy tales related to science museum exhibits has led to a significant change in science academic emotion by reducing the burden of learning through the exhibition experience at the science museum, which creates scientific curiosity and recognizes them as a playground.

• The Journal of Industrial Distribution & Business
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• v.9 no.6
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• pp.65-76
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• 2018

Purpose - The study aims to provide the relationships between the social servicescape and customer's emotion and voluntary behaviors were investigated in this study. The social servicescape was largely divided into service employee's image and other customers (in customer's similarity, physical appearance and suitable behavior). Firstly, the relationship between service employee's image and customer's positive emotion was investigated as a specific purpose of study. Secondly, this study attempted to understand the relationship between other customers (in customer's similarity, physical appearance and suitable behavior) and customer's positive emotion. Lastly, the relationship between customer's positive emotion and customer's voluntary behavior dimension (intention to cooperate, intention to participate in and loyalty) was examined. Research design, data, & methodology - In order to prove the hypotheses in this study, the customers who have experienced family restaurants during the last two months were targeted for a survey. A total number of 300 survey papers were distributed and as a result, 248 papers could be used for analysis, except the papers with insincere answers. After the analysis of the reliability and validity of each major variable, the hypothesis was verified through the structure method by using Amos 20.0. Results - First, the results of hypothesis testing on the relationship between social servicescape and customer's positive emotion showed service employee image gives a positively meaningful impact on customer's positive emotion. Secondly, the results on the relationship between other customers and customer's positive emotion indicated that the customer's similarity and physical appearance has a positively significant impact on customer's emotion while customer's suitable behavior has not a significantly positive impact on customer's positive emotion Lastly, customer's positive emotion was shown to have a significantly positive influence on customer's voluntary behavior dimension, that is, intention to cooperate, intention to participate in and loyalty. Conclusions - This study aims to focus on and emphasize the social servicescape and its importance, which is different from the previous studies that have been focused largely on physical servicescape. Such results in this study indicated the social servicescape (service employee's image and other customers) as an important factor that affects customer's positive emotion and voluntary behavior.