• Smart Media Journal
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• v.13 no.7
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• pp.18-26
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• 2024

One of the newest trends in AI is emotion recognition utilizing keystroke dynamics, which leverages biometric data to identify users and assess emotional states. This work offers a comparison of four datasets that are frequently used to research keystroke dynamics: BB-MAS, Buffalo, Clarkson II, and CMU. The datasets contain different types of data, both behavioral and physiological biometric data that was gathered in a range of environments, from controlled labs to real work environments. Considering the benefits and drawbacks of each dataset, paying particular attention to how well it can be used for tasks like emotion recognition and behavioral analysis. Our findings demonstrate how user attributes, task circumstances, and ambient elements affect typing behavior. This comparative analysis aims to guide future research and development of applications for emotion detection and biometrics, emphasizing the importance of collecting diverse data and the possibility of integrating keystroke dynamics with other biometric measurements.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.179-184
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• 2005

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 our 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.

• 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.

• Korean Journal of Child Studies
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• v.26 no.6
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• pp.1-15
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• 2005

The purposes of this study were to assess children's emotional competence, to examine whether there was a difference in children's emotional competence according to their gender, and to investigate the relationship between children's emotional competence and their play behavior. The subjects of this study were 104 four-year-old children(56 boys, 48 girls). Collected data were analyzed by frequency, percentage, means, standard deviation and Pearson's correlation. The results were as follows : First, there was meaningful correlation among the emotional competence measured by teacher, the understanding and expression of emotion and the emotional regulation measured by mother. Second, there was difference in children's emotional competence according to gender. Specifically, girls showed better competence in the socio-behavioral emotional competence and the understanding and expression of emotion than boys. Third, the dramatic play and the group play had some meaningful correlation with the emotional competence measured by teacher and the understanding and expression of emotion measured by mother.

• Korean Institute of Interior Design Journal
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• v.18 no.6
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• pp.124-132
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• 2009

Recently, 'Emotion' has attracted public attention socially and continuously in the fields such as construction, environment, design and products. Also, phenomenological concept of space through the physique in the viewpoint of the human-oriented aspect, namely, body, has been managed as a planned measure suitable for a new era and space. In this study, the author examined and analyzed the verbs and emotional vocabulary about the human body's behavior. The phenomenological space conception through body, i.e, flesh in this human centered point of view is being treated as the suitable planning measure on the new era and space. Though the epochal issue for Emotion is being attempted in many ways in various field such as product and marketing, the approach through the relationship between human and space. Therefore, we would like to see how the Emotion related to the movement that occurs in the space by analyzing the human body movement which is the subject of experiencing the space experimentally and research the characteristic of Emotion and space movement. SPSS 12.0 was used for the analysis to perform the analysis of basic statistics and Factor Analysis, and then to analyze the characteristic and emotional attribute for the experimental analysis. Comparing the activity for the 2 groups' behavior through the analyzed result with the test, active behavior was found to be higher than inactive behavior in the emotional value, and their bodies' motion showed averagely positive value in the emotional aspect; their bodies' motion was presented differently according to the attributes and amount of the people who would experience a specific space. However, the author found that affirmative and active behavior showed emotional aspect more than inactive behavior.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.11a
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• pp.65-67
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• 2011

• 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.

• Asia Marketing Journal
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• v.19 no.4
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• pp.1-14
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• 2018

Social networking service(SNS) helps users manage, share and delivery a vast information as a communication tool. When users read crisis news in SNS, they communicate the information with others by considering not only their belief (i.e., cognitive risk perception) but also emotion (i.e., affective risk perception). However, few researches have been interested in the construct of communication behaviors of crisis in SNS. This study aimed to explore the role of risk perception (cognitive and affective risk perception) between crisis responsibility and communication behavior through dual processing theory. As a result of the empirical analysis, crisis responsibility had a positive effect on cognitive risk perception and affective risk perception. In addition, cognitive risk perception had no significant effect on communication behavior whereas affective risk perception had influence on communication behavior positively. Thus, our findings may predict that the affective risk perception through crisis responsibility is more potentially important to communication behavior such as sharing information rather than cognitive risk perception. The results give insightful ideas why marketer should reduce perceived emotion caused by risk to strengthen prospective SNS users understanding of communication behavior intention.

• Journal of Korean Academy of Nursing
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• v.35 no.2
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• pp.303-312
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• 2005

Purpose: This study was to develop an aromatherapy hand massage program, and to evaluate the effects of lavender aromatherapy on cognitive function, emotion, and aggressive behavior of elderly with dementia of the Alzheimer's type. Method: The Research design was a nonequivalent control group non-synchronized quasiexperimental study. Lavender aromatherapy was administrated to experimental group I for 2 weeks, jojoba oil massage was administrated to experimental group II for 2 weeks, and no treatment was administrated to the control group for 2 weeks. Data was analyzed using the $x^2-test$, ANOVA, repeated measures of ANCOVA and ANCOVA in the SPSS program package. Result: 1. Experimental group I did not show significant differences in cognitive function in relation to the experimental group II and control group. 2. Experimental group I showed significant differences in emotion and aggressive behavior in relation to the experimental group II and control group. Conclusion: A Lavender aromatherapy hand massage program is effective on emotions and aggressive behavior of elderly with dementia of the Alzheimer's type.

• Journal of Fashion Business
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• v.17 no.2
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• pp.136-150
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• 2013

This study investigates the effect of customer emotions on customer evaluation and behavior intention. The subjects used in this study were customers of a fashion shop in Sunchon South Korea. The questionnaires were conveniently sampled from July 2010 to August, 2010. Questionnaire data from 335 customers of a national brand were analyzed through a reliability analysis, factor analysis, and multiple regression analysis. The results of this study are as follows. First, emotions of customer were divided into 2 patterns, positive emotion and negative emotion. Second positive emotion have significant (+) influences on the trust and negative emotion have significant (-) influences on the trust. Third positive emotion have significant (+) influences on the customer orientation and negative emotion have significant (-) influences on the customer orientation. Forth, the emotions of customer have a considerable impact on the interaction intention. And the positive emotion have significant (+) influences on the word-of-mouth intention and negative emotion have not a considerable impact on it. Fifth the positive emotion have significant (+) influences on the attitude toward store and repurchase intention, and negative emotion have significant (-) influences on the attitude toward store and repurchase intention.