• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.11
• /
• pp.253-263
• /
• 2018

This paper examined the U-shape curvilinear relationship between team level conflict management and individual level turnover intention by using exit-voice theory, bandwagon effect, and social loafing theory. In addition to the non-linear relationship between team-level conflict management and individual-level turnover intentions, we also examined how trust in leaders has a moderating effect on this relationship. The samples were collected from a South Korean manufacturing company with 331 team members from 48 teams and items were measured twice to avoid common method biases. The intercepts-as-outcomes model of hierarchical linear modelling was conducted to verify the hypothesis. Results supported the cross-level curvilinear hypothesis which indicated that employees' turnover intention sharply decreased if the activeness of group conflict management was small and increases slightly, but this tendency moderated as activeness increases. After passing the lowest point, their turnover intention increased in the end. However, the moderation effect of trust in leader on this relationship was not statistically significant and hypothesis 2 was rejected. This paper explained the effects of group dynamics of conflict management on individual turnover intention. Such evidence may elucidate the importance of managing the social loafing behavior on conflict management process. This paper examined the sequential, multi-level, and curvilinear relationship between conflict management and turnover intention. Organizations and managers will benefit from avoiding the human resource loss by managing the conflict management process.

• Journal of Music and Human Behavior
• /
• v.6 no.1
• /
• pp.33-53
• /
• 2009

The purpose of this study is to examine the effects of a singing program on withdrawal behaviors of children in low-income families. To measure the effects of the singing program, the researcher compared the results of K-YSR and TRF withdrawal scales before and after the program. Finally, the researcher did research on the subjects' musical and non-musical behaviors related to withdrawal through a record of behavior observation. The results of this study were asfollows: First, after comparing the results of K-YSR and TRF withdrawal scales conducted before and after the singing program, the mean of the scores was decreased by 6.4 and 3.6 points respectively (p = .042). Second, an analysis of withdrawal-related behavioral changes in music activities after the program showed an increase in frequency of eye contact, as well as tone and volume of subjects' voices. The results of this study indicate that the singing program has positive effects on withdrawal behaviors of children in low-income familiesin addition, it is effective in alleviating withdrawal-related behaviors.

• KIPS Transactions on Software and Data Engineering
• /
• v.4 no.9
• /
• pp.403-408
• /
• 2015

Kinect sensors have the ability to recognize the behavior and voice of the user. Due to its low-cost and high accessibility, Kinect sensors have been used in various fields, including healthcare, education and so on. In this paper, we propose to use Kinect in piano education. Specifically, the proposed method first recognizes the coordinate values of user's posture, compares them with coordinate values of teacher's posture and provide real-time feedbacks to the user. This enables user to keep the correct posture even when he is learning piano without a teacher. However, since the piano education is a long process, it is difficult to achieve the correct posture as a teacher immediately. Thus, we propose a user-oriented method to measure the error tolerance rate. The proposed method is the first feedback based piano education system that uses Kinect sensors.

• Journal of Institute of Control, Robotics and Systems
• /
• v.11 no.12
• /
• pp.1051-1061
• /
• 2005

This paper proposes a ubiquitous robot, Ubibot, as an integration of three forms of robots: Software robot (Sobot), Embedded robot (Embot) and Mobile robot (Mobot). A Sobot is a virtual robot, which has the ability to move to any place or connect to any device through a network in order to overcome spatial limitations. It has the capacity to interpret the context and thus interact with the user. An Embot is embedded within the environment or within physical robots. It can recognize the locations of and authenticate the user or robot, and synthesize sensing information. Also it has the ability to deliver essential information to the user or other components of Ubibot by using various types of output devices. A Mobot provides integrated mobile service. In addition, Middleware intervenes different protocols between Sobot, Embot, and Mobot in order to incorporate them reliably. The services provided by Ubibot will be seamless, calm and context-aware based on the combination of these components. This paper presents the basic concepts and structure of Ubibot. A Sobot, called Rity, is introduced in order to investigate the usability of the proposed concepts. Rity is a 3D synthetic character which exists in the virtual world, has a unique IP address and interacts with human beings through Vision Embot, Sound Embot, Position Embot and Voice Embot. Rity is capable of moving into a Mobot and controlling its mobility. In doing so, Rity can express its behavior in the virtual world, for example, wondering or moving about in the real world. The experimental results demonstrate the feasibility of implementing a Ubibot in a networked environment.

• Journal of the Korea Convergence Society
• /
• v.11 no.11
• /
• pp.63-74
• /
• 2020

AI products are used 'AI assistants' as embedded in smart phones, speakers, appliances as agents. Studies on anthropomorphism, such as personality, voice with a weak AI are being conducted. Role and function of AI agents will expand from development of AI technology. Various attributes related to the agent, such as user type, usage environment, appearance of the agent will need to be considered. This study intends to categorize interaction factors related to agents from the user's perspective through analysis of concept videos which agents with strong AI. Framework for analysis was built on the basis of theoretical considerations for agents. Concept videos were collected from YouTube. They are analyzed according to perspectives on environment, user, agent. It was categorized into 8 attributes: viewpoint, space, shape, agent behavior, interlocking device, agent interface, usage status, and user interface. It can be used as reference when developing, predicting agents to be commercialized in the future.

• The Journal of Korean Academy of Sensory Integration
• /
• v.6 no.1
• /
• pp.25-33
• /
• 2008

Objective : To identify the effectiveness of a short-term intensive intervention program on the improvement of adaptive response of a child with mixed sensory integration disorder. Method : Four and half years old boy who has been diagnosed of PDD received 40 min of one intervention session and 50 min of 3 intervention sessions. The intervention was a part of the 2008 Sensory Integration Treatment Course developed by the Korean Academy of Sensory Integration (KASI) and all sessions were implemented under supervision by experts. Result : Adaptive responses of the child were enhanced throughout the intervention process in terms of postural response and peer interaction. His oral defensiveness is improved. As the intervention progressed, he exhibited more active movements, louder voice, and coherence within peer group. Conclusion : This case report demonstrates effectiveness of a short-term intensive intervention program in terms of improving adaptive response. To enrich the effectiveness, tt is suggested to educate parents about neurological base of the child's behaviors so the they understand the importance of various sensory experience within play.

• Journal of KIISE:Computing Practices and Letters
• /
• v.14 no.3
• /
• pp.261-265
• /
• 2008

As increasing the user of VoIP service using ITSP(Internet Telephony Service Provider), the VoIP spam becomes a big problem. The spam used in the existing public telephone is detected by using the pattern inspection of call behavior because it is difficult to filter contents for the characteristic of real-time voice communication. However there is a false-positive problem. The threat on spam remains where spam with low threshold can't be detected or users share one number. In this paper, we propose anti-spam for VoIP based on luring test. The proposed method gives a user luring test and he/she can connect to a receiver if passing turing test. A ticket is given to a user that pass luring test and it reduces overhead of luring test in re-dial. The proposed method is implemented on ASUS WL-500G wireless router and Asterisk IP-PBX. Experimental results show the effectiveness of the proposed method.

• Journal of Digital Convergence
• /
• v.13 no.9
• /
• pp.21-28
• /
• 2015

This study shows what the political distrust of three nations was preserved among US, Japan, and South Korea in 2008. According to the World Value Survey research, the political distrust of three nations was reached over 70% when on the basis of national people's consciousness in 2008. Especially in the case of South Korea, the percentage of extreme distrust was the highest compared to the other countries. The reason why South Korea could not manage the nation people's political voice to the government and National Assembly. So consequently political complaining behavior channel should be erected more in the political mechanism. And Korean political parties could not manage the social development and national consolidation. Moreover, attacted the negative effects to society. Political distrust is the worst obstacle in democracy that it will be needed the national consensus to amend it.

• The Korean Journal of Applied Statistics
• /
• v.32 no.1
• /
• pp.41-68
• /
• 2019

Multi-view learning considers data from various viewpoints as well as attempts to integrate various information from data. Multi-view learning has been studied recently and has showed superior performance to a model learned from only a single view. With the introduction of deep learning techniques to a multi-view learning approach, it has showed good results in various fields such as image, text, voice, and video. In this study, we introduce how multi-view learning methods solve various problems faced in human behavior recognition, medical areas, information retrieval and facial expression recognition. In addition, we review data integration principles of multi-view learning methods by classifying traditional multi-view learning methods into data integration, classifiers integration, and representation integration. Finally, we examine how CNN, RNN, RBM, Autoencoder, and GAN, which are commonly used among various deep learning methods, are applied to multi-view learning algorithms. We categorize CNN and RNN-based learning methods as supervised learning, and RBM, Autoencoder, and GAN-based learning methods as unsupervised learning.

• Journal of Internet Computing and Services
• /
• v.23 no.4
• /
• pp.65-72
• /
• 2022

In this paper, a zero trust-based complex biometric authentication was proposed in a passwordless environment. The linkage of FIDO 2.0 (Fast IDENTITY Online) transaction authentication platforms was designed in conjunction with metaverse. In particular, it was applied with the location information of a smart terminal according to a geomagnetic sensor, an accelerator sensor, and biometric information for multi-factor authentication(MFA). At this time, a FIDO transaction authentication platform was presented for adaptive complex authentication with user's environment through complex authentication with secondary authentication based on situational awareness such as illuminance and temperature/humidity. As a result, it is possible to authenticate secondary users based on zero trust with behavior patterns such as fingerprint recognition, iris recognition, face recognition, and voice according to the environment. In addition, it is intended to check the linkage result of the FIDO platform for complex integrated authentication and improve the authentication accuracy of the linkage platform for transaction authentication using FIDO2.0.