• Journal of Institute of Control, Robotics and Systems
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• v.16 no.1
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• pp.33-39
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• 2010

The interaction of emotion is an important factor in Human-Robot Interaction(HRI). This requires a contextual appraisal of emotion extracting the emotional information according to the events happened from past to present. In this paper an emotion appraisal system based on the cognitive context is presented. Firstly, a conventional emotion appraisal model is simplified to model a contextual emotion appraisal which defines the types of emotion appraisal, the target of the emotion induced from analyzing emotional verbs, and the transition of emotions in the context. We employ a language based cognitive system and its sentential memory and object descriptor to define the type and target of emotion and to evaluate the emotion varying with the process of time with the a priori emotional evaluation of targets. In a experimentation, we simulate the proposed emotion appraisal system with a scenario and show the feasibility of the system to HRI.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.8
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• pp.1265-1271
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• 2017

In this paper, the speech parameter fusion method is studied to improve the performance of the conventional emotion recognition system. For this purpose, the combination of the parameters that show the best performance by combining the cepstrum parameters and the various pitch parameters used in the conventional emotion recognition system are selected. Various pitch parameters were generated using numerical and statistical methods using pitch of speech. Performance evaluation was performed on the emotion recognition system using Gaussian mixture model(GMM) to select the pitch parameters that showed the best performance in combination with cepstrum parameters. As a parameter selection method, sequential feature selection method was used. In the experiment to distinguish the four emotions of normal, joy, sadness and angry, fifteen of the total 56 pitch parameters were selected and showed the best recognition performance when fused with cepstrum and delta cepstrum coefficients. This is a 48.9% reduction in the error of emotion recognition system using only pitch parameters.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.04a
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• pp.366-369
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• 2000

This paper examines three algorithms to recognize speaker's emotion using the speech signals. Target emotions are happiness, sadness, anger, fear, boredom and neutral state. MLB(Maximum-Likeligood Bayes), NN(Nearest Neighbor) and HMM (Hidden Markov Model) algorithms are used as the pattern matching techniques. In all cases, pitch and energy are used as the features. The feature vectors for MLB and NN are composed of pitch mean, pitch standard deviation, energy mean, energy standard deviation, etc. For HMM, vectors of delta pitch with delta-delta pitch and delta energy with delta-delta energy are used. We recorded a corpus of emotional speech data and performed the subjective evaluation for the data. The subjective recognition result was 56% and was compared with the classifiers' recognition rates. MLB, NN, and HMM classifiers achieved recognition rates of 68.9%, 69.3% and 89.1% respectively, for the speaker dependent, and context-independent classification.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2003.05a
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• pp.622-627
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• 2003

Until now, product mostly has revealed physical quantities created by the standpoint of engineers. Consumers, however, perceive and evaluate products on the non-physical characteristics, such as feelings, emotions, and experiences in different social and cultural situations. Especially, for the household appliances fur instance air-conditioner or refrigerator, the sound is heavily related to the satisfaction of a customer who is a real user of the product and is very important factor to decide purchasing as well as visual design. Therefore, in this research, the general tendency of consumer's psychology was investigated for the appliances. And also, in order to obtain clear guidelines for sound manipulation, the characteristics of the sound of air-conditioning systems and refrigerators were compared with others. Since it is important to overcome the discrepancy between engineering and marketing, the relevance of sound manipulation must be documented from the consumer's perspective. That is the reason why we conducted a consumer and marketing oriented study.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.10
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• pp.3498-3512
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• 2021

This article describes how events that make up text stories can be represented and extracted. We also address the results from our simple experiment on extracting and clustering events in terms of emotions, under the assumption that different emotional events can be associated with the classified clusters. Each emotion cluster is based on Plutchik's eight basic emotion model, and the attributes of the NLTK-VADER are used for the classification criterion. While comparisons of the results with human raters show less accuracy for certain emotion types, emotion types such as joy and sadness show relatively high accuracy. The evaluation results with NRC Word Emotion Association Lexicon (aka EmoLex) show high accuracy values (more than 90% accuracy in anger, disgust, fear, and surprise), though precision and recall values are relatively low.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.296-300
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• 2006

It is difficult to let computer express feelings because of the ambiguity and nonlinearity. But it is said that expressing emotions is very important for high quality data processing and improvement of interactivity in WBI. In this paper, I surveyed emotion models from the view point of psychology. Next, I proposed WBI(Web Based Instruction) based on character agent considering emotional experience. By experimental result, the proposed model shows that has more user's preference than other existing WBI.

• Korean Institute of Interior Design Journal
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• v.25 no.5
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• pp.121-129
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• 2016

With the ingenious properties of unconstrained formativeness and frank expression of materiality the exposed concrete became popular with numerous architectures. The application of the exposed concrete has expanded to indoor environments such as commercial and residential spaces beyond the building exteriors with the uncompromising nature of its materiality. The purpose of this study is to conduct sensibility evaluation of the exposed concrete finish in interior spaces. The sensibility evaluation is conducted through a survey on a set of space models of the exposed concrete finish. The three rendered space models were evaluated by emotional vocabulary of 18 pairs of words. The result were as follows: First, the emotions derived from the exposed concrete finish are 'modern', 'cold', 'simple', 'restrained', 'rough', 'dark', 'new', 'chic', 'familiar' and 'eco-friendly'. Second, three sets of space models with alternative materials on walls and floors in exposed concrete interior space showed clear difference in sensibility. A space with the exposed concrete finish on the floor, the walls and the ceiling showed the results of 'cold', 'dark', 'rational' and 'masculine'. In the exposed concrete finish environment with wood flooring 'comfortable', 'warm', 'bright' senses and with white paint finish on the wall 'bright', 'practical', 'ordinary' and 'restrained' senses were obtained. Third, all three images achieved senses of 'chic', 'modern', 'new', 'pleasant', 'environment friendly' and 'satisfactory'. The modernity and stylish expressions of the exposed concrete finish were kept with the application of different material finishes as well as complementing its cold and rough expressions with warmth and brightness.

• Journal of the Ergonomics Society of Korea
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• v.21 no.3
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• pp.35-46
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• 2002

In this study, emotion changes were induced by four imaginations- pleasantness, unpleasantness, arousal, relaxation and it was examined using subjective evaluation and analysis of the physiological signals of the central and autonomic nerve systems whether the intended emotions were appropriately achieved, and whether these emotion changes could be distinguished from the analysis of physiological signals. Each of the four imaginations was implemented on 32 subjects for 30 seconds, while that Electroencephalogram (EEG), Eelectrocardiogram (RSP) were measured, and a subjective evaluation was implemented following the completion of the measurement. The analysis of the subjective evaluation revealed that the subjects underwent the four clearly differentiated imaginations, and the pleasantness level was classified into four imagination stages, pleasantness>relaxation>arousal=comfort>unpleasantness, and arousal level was classified into four imagination stages in the order of arousal>unpleasantness${\approx}$pleasantness>comfort>relaxation. The analysis of the EEG revealed that three stages of pleasantness level, pleasantness>relaxation=arousal=comfort>unpleasantness were classified from the values of ${\alpha}/{\alpha}+{\beta}\;and\;{\beta}/{\alpha}+{\beta}$, and about tour distinguishable stages of arousal level were obtained from the autonomic nervous system responses following the order of arousal>unpleasantness${\approx}$pleasantness> comfort> relaxation. It was found that intended emotion could be induced from the imagination, and these induced emotion changes could be differentiated using the physiological signals of the EEG and autonomic nervous system.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.1
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• pp.153-184
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• 2018

This study aims to investigate the effects of emotional labor level on the level of job satisfaction and library information service provision in public libraries. The research model used emotional labor levels as an independent variable; job satisfaction and level of library information service provision as a dependent variable; and organizational culture as a control factor. The data were collected randomly from 220 librarians of public libraries in Seoul by distributing and collecting internet surveys. Reliability analysis, correlation coefficient analysis, multiple regression analysis, and regression analysis were performed using the SPSS 18.0 program. The statistic hypothesis test results of this study can be summarized as follows. First, public library librarians did not like to express their emotions to users, trying to express their emotions more positively than what they were actually feeling. Second, although librarians experience emotional labors, they feel a sense of achievement when undertaking their tasks and develop pride and happiness in their work. As librarians perceive their work professional, they overcome emotional labors, and have pride in their work. Third, although librarians experience emotional labors, a reasonable job evaluation with goals, and their relationships with colleagues would lead to accomplishment in their work. In addition, although the evaluation of employees is focused on performance, librarians improve their service if library users are satisfied with their service and the services are provided adequately.

• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.207-218
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• 2020

Recently, due to the increase of online reviews and the development of analysis technology, the interest and demand for online review analysis continues to increase. However, previous studies have not considered the emotions contained in each vocabulary may differ from one reviewer to another. Therefore, this study first classifies the customer group according to the customer's grade, and presents the result of analyzing the difference by performing review analysis for each customer group. We found that the price factor had a significant influence on the evaluation of products for customers with high ratings. On the contrary, in the case of low-grade customers, the degree of correspondence between the contents introduced in the mall and the actual product significantly influenced the evaluation of the product. We expect that the proposed methodology can be effectively used to establish differentiated marketing strategies by identifying factors that affect product evaluation by customer group.