• Journal of information and communication convergence engineering
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• v.21 no.1
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• pp.68-74
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• 2023

This study examines the response of users' feelings from a gender perspective toward interactive video mobile learning (IVML). An IVML prototype was developed for the Android platform allowing users to install and make use of the app for m-learning purposes. This study aims to measure the level of feelings toward the IVML prototype and examine the differences in gender perspectives, identify the most responsive feelings between male, and female users as prominent feelings and measure the correlation between user-friendly feeling traits as an independent variable in accordance with gender attributes. The feelings response could then be extracted from the user experience, user interface, and human-computer interaction based on gender perspectives using the Kansei engineering approach as the measurement method. The statistical results demonstrated the different emotional reactions from a male and female perspective toward the IVML prototype may or may not have a correlation with the user-friendly trait, perhaps having a similar emotional response from one to another.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.5
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• pp.503-512
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• 2014

People would like to be socially engaged not only with humans but also with robots. One of the most common ways in the robotic field to enhance human robot interaction is to use emotion and integrate emotional concepts into robots. Many researchers have been focusing on developing a robot's emotional expressions. However, it is first necessary to establish the psychological background of a robot's emotion generation model in order to implement the whole process of a robot's emotional behavior. Therefore, this article suggests a robot's motivational emotion model with value effectiveness from a Higgins' motivation definition, regulatory focus theory, and Circumplex model. For the test, a game with the best-two-out-of-three rule is introduced. Each step of the game was evaluated by the proposed model. As the results imply, the proposed model generated psychologically appropriate emotions for a robot in the given situation. The empirical survey remains for future work to prove that this research improves social human robot interaction.

• Journal of Korea Game Society
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• v.16 no.1
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• pp.43-50
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• 2016

This research tried to evaluate the competitiveness of a mobile game in the aspect of emotional value which was developed on the purpose of improving specific emotional features. An evaluation of emotional value of a game before its commercial service will provide an effective advice for its marketing and service. The target game to be evaluated on this research is a mobile puzzle game of match-3 genre. We compared the game with Candy crush saga and Poko pang, and the indicators used to evaluate emotional features were flow, challenge, and intention of use. The importance values of indicators were calculated using AHP. And the three games were evaluated by pair-wise comparison method. Finally, the importance values of each indicators were applied to the evaluated results to make overall game quality value.

• Korean Journal of Childcare and Education
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• v.12 no.5
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• pp.115-136
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• 2016

The purpose of this study was to examine the main and interaction effects of fathers' parenting and their play participation on emotional regulation of preschoolers. The participants of this study consisted of 269 preschoolers (M: 61.4 months, SD: 15.3) located in Seoul and Gyeong-gi province. The results of regression analysis revealed that; 1) Father's parenting (such as rational instruction, friendly attitude) positively predicted child's emotion regulations. 2) The interaction effects of fathers' parenting (such as parenting participation, reaction, rational instruction, friendly attitude) with their constructive play participation predicted children's emotion regulations. Namely, fathers with higher constructive play participation showed higher emotion regulations of preschoolers under father's parenting participation, reaction, rational instruction and friendly attitude. 3) The interaction effects between fathers' functional play participation and father's parenting participation predicted children's emotion regulations. Findings indicate that fathers play a role in improving children's emotion regulation by parenting. Moreover, its effects appeared more apparently when fathers participated with constructive and functional play methods. In conclusion, it is suggested that fathering and the level of play involvement may be key variables for developing young children's emotion regulation.

• Proceedings of the Korean DIstribution Association Conference
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• 2007.08a
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• pp.127-158
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• 2007

This study discusses salespersons' emotional intelligence, one of the key abilities necessary to meet customers' needs effectively, and express positive emotions in frequent interactions with customer. Emotional intelligence refers to self-controllability and social ability emphasizing pro-social aspect and understanding of others. This study investigates how salespersons' emotional intelligence affects adaptive selling and positive emotional expression during the process of interaction with customers, and how such adaptive selling and positive emotional expression affects the quality of service perceived by customers. The results show that greater salespersons' emotional intelligence results in better adaptive selling and positive emotional expression. Such adaptive selling and positive emotional expression had significant effects on the quality of service perceived by customers. These results are important in that they address emotional intelligence as salespersons' emotional ability, which has been overlooked as an antecedent variable for improving adaptive selling and display of positive emotion, consequently provide another factor to help salespersons improve their selling behavior.

• Journal of the Ergonomics Society of Korea
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• v.31 no.2
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• pp.271-279
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• 2012

Objective: This study classified three different emotional states(boredom, pain, and surprise) using physiological signals. Background: Emotion recognition studies have tried to recognize human emotion by using physiological signals. It is important for emotion recognition to apply on human-computer interaction system for emotion detection. Method: 122 college students participated in this experiment. Three different emotional stimuli were presented to participants and physiological signals, i.e., EDA(Electrodermal Activity), SKT(Skin Temperature), PPG(Photoplethysmogram), and ECG (Electrocardiogram) were measured for 1 minute as baseline and for 1~1.5 minutes during emotional state. The obtained signals were analyzed for 30 seconds from the baseline and the emotional state and 27 features were extracted from these signals. Statistical analysis for emotion classification were done by DFA(discriminant function analysis) (SPSS 15.0) by using the difference values subtracting baseline values from the emotional state. Results: The result showed that physiological responses during emotional states were significantly differed as compared to during baseline. Also, an accuracy rate of emotion classification was 84.7%. Conclusion: Our study have identified that emotions were classified by various physiological signals. However, future study is needed to obtain additional signals from other modalities such as facial expression, face temperature, or voice to improve classification rate and to examine the stability and reliability of this result compare with accuracy of emotion classification using other algorithms. Application: This could help emotion recognition studies lead to better chance to recognize various human emotions by using physiological signals as well as is able to be applied on human-computer interaction system for emotion recognition. Also, it can be useful in developing an emotion theory, or profiling emotion-specific physiological responses as well as establishing the basis for emotion recognition system in human-computer interaction.

• Science of Emotion and Sensibility
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• v.22 no.3
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• pp.35-46
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• 2019

Artificial intelligence (AI) technology has been evolving to recognize and learn the languages, voice tones, and facial expressions of users so that they can respond to users' emotions in various contexts. Many AI-based services of particular importance in communications with users provide emotional interaction. However, research on nonverbal interaction as a means of expressing emotion in the AI system is still insufficient. We studied the effect of lighting on users' emotional interaction with an AI device, focusing on color and flickering motion. The AI device used in this study expresses emotions with six colors of light (red, yellow, green, blue, purple, and white) and with a three-level flickering effect (high, middle, and low velocity). We studied the responses of 50 men and women in their 20s and 30s to the emotions expressed by the light colors and flickering effects of the AI device. We found that each light color represented an emotion that was largely similar to the user's emotional image shown in a previous color-sensibility study. The rate of flickering of the lights produced changes in emotional arousal and balance. The change in arousal patterns produced similar intensities of all colors. On the other hand, changes in balance patterns were somewhat related to the emotional image in the previous color-sensibility study, but the colors were different. As AI systems and devices are becoming more diverse, our findings are expected to contribute to designing the users emotional with AI devices through lighting.

• Journal of the Ergonomics Society of Korea
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• v.30 no.6
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• pp.705-713
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• 2011

Objective: The aim of this study is to compare results of emotion recognition by several algorithms which classify three different emotional states(happiness, neutral, and surprise) using physiological features. Background: Recent emotion recognition studies have tried to detect human emotion by using physiological signals. It is important for emotion recognition to apply on human-computer interaction system for emotion detection. Method: 217 students participated in this experiment. While three kinds of emotional stimuli were presented to participants, ANS responses(EDA, SKT, ECG, RESP, and PPG) as physiological signals were measured in twice first one for 60 seconds as the baseline and 60 to 90 seconds during emotional states. The obtained signals from the session of the baseline and of the emotional states were equally analyzed for 30 seconds. Participants rated their own feelings to emotional stimuli on emotional assessment scale after presentation of emotional stimuli. The emotion classification was analyzed by Linear Discriminant Analysis(LDA, SPSS 15.0), Support Vector Machine (SVM), and Multilayer perceptron(MLP) using difference value which subtracts baseline from emotional state. Results: The emotional stimuli had 96% validity and 5.8 point efficiency on average. There were significant differences of ANS responses among three emotions by statistical analysis. The result of LDA showed that an accuracy of classification in three different emotions was 83.4%. And an accuracy of three emotions classification by SVM was 75.5% and 55.6% by MLP. Conclusion: This study confirmed that the three emotions can be better classified by LDA using various physiological features than SVM and MLP. Further study may need to get this result to get more stability and reliability, as comparing with the accuracy of emotions classification by using other algorithms. Application: This could help get better chances to recognize various human emotions by using physiological signals as well as be applied on human-computer interaction system for recognizing human emotions.

• Journal of The Korean Association For Science Education
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• v.22 no.3
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• pp.660-670
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• 2002

The purposes of this study were to categorize the type of student-student interaction and analyze the pattern of group interaction by cognitive level in interactive science inquiry experiments. For this study, two homogeneous and two heterogeneous groups by cognitive level were selected. Social interactions during group discussions were audio/video taped. The types of student's interaction were classified as intellectual and emotional aspects. Intellectual aspects were consisted of asking question, response, making suggestion, receiving opinion and then further coded by interaction level. Emotional aspects were consisted of relevance to behavioral participation, relevance to students' feeling, reaction to opinion. Interaction frequency in the intellectual and emotional aspect between homogeneous and heterogeneous group were compared to analyze interaction pattern. The results of this study showed that in intellectual aspect the frequency and quality of interaction in homogeneous group was higher than that in heterogeneous group. In emotional aspect. homogeneous group more showed such negative attitude as lack of confidence and dissatisfaction than heterogeneous group, on the other hand showed acceptable mood to be able to accept or object to peer's opinion. Some educational implications were drawn.

• Journal of the Korean Home Economics Association
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• v.44 no.11
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• pp.51-65
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• 2006

This study examined the influence of mothers' and children's emotional expressiveness on children's social competence. Sixty-five kindergarten children and their mothers were observed in a lab setting which included 5 free play and 5 task episodes. The children's and mothers' behaviors during these episodes were videotaped and rated by two coders in terms of emotional expressiveness, sociability to others, ability to regulate frustration, compliance, and autonomy. Intercoder reliability between the two coders for each behavioral category ranged from .84 to .99. The results showed that children's social competence was significantly influenced by their positive expressiveness, indicating that children with higher expressiveness were more sociable to others and less frustrated in a stressful situation. Significant relationships were also found between mothers' and children's negative expressiveness, and children's compliance and autonomy. In particular, the consistency between mothers' and children's levels of negative expressiveness significantly predicted the children's compliance and autonomy. The socialization of emotion between mothers and children was discussed, as was the relationship between emotional and social competence. Suggestions for future study were also presented.