This study was intended to verify that the Revised PAI-A scale reflected the internalization and externalization classification of adolescence problem behavior. For this purpose, exploratory factor analysis and confirmatory factor analysis were conducted using PAI-A restandardization data. In addition, 31 Revised PAI-A sub-scales and SUI scale were used to identify the detailed factor structures. As a result of the analysis, the classification of internalization and externalization factors was similar to that of previous studies. In detail, the sub-scales of ANX·DEP and SUI were classified into internalization, the sub-scales of ANT and AGG were classified into externalization. It is noteworthy that each sub-scale of PAI-A was separated into internalization or externalization. For example, BOR-A, BOR-I, and BOR-N were loaded into internalization, but BOR-S into externalization. Next, in order to confirm whether the structure of the derived internalization and externalization factors can be applied to new samples, 350 samples were randomly extracted and confirmatory factor analysis was conducted, but exclusive of the samples used for exploratory factor analysis. As a result of confirmatory factor analysis, the appropriate indices of internalization and externalization classification was close to the good level. Therefore, the Revised PAI-A scales have theoretical relevance to internalization and externalization classification of problem behaviors. Based on the results of this study, it is expected that it can be used helpfully in the school settings in the future. Finally, the significance and limitations of this study were discussed.
The Purpose of this study is to get basic material about voluntary association in local community and its utilization. In order to achieve the purpose of this study, it was considered that trust of social capital plays a leading part in voluntary association to maintain or strengthen its role and activities. For this reason we attempt to find the process of trust building in voluntary association. The revised ground theory that is complementary weaknesses of ground theory is used in this study and in 11months, four times researches have investigated. As a result, it was analyzed that the structure of building trust can be categorized into three structure, building up relationship, dynamic interaction and structural stabilization in voluntary association. In the space that is structured spatially and temporal, role, activity, accomplishment, attitude, conflict and environment acted as basic attributes. These attributes can be found in every building process of trust and influence on continuance and growth of voluntary association. The fact that this study offers in-depth understanding of voluntary association and empirical directivity regarding the community welfare services is of great significant.
Previous research has demonstrated that imagined contact is useful to reducing prejudice against minorities (e.g. Turner & Crisp, 2010). In this research, we investigated whether imagined contact increases attraction to physically unattractive women, and whether this effect is moderated by perceiver's physical attractiveness and appearance orientation in romantic relationships. Single male participants (n = 98) responded to items assessing their physical attractiveness and appearance orientation, and then were randomly assigned to one of the two conditions. In the imagined contact condition, participants were told to imagine communicating with a physically unattractive woman and come up with some interesting things about her. In the control condition, participants were told to simply imagine a physically unattractive woman. Next, participants saw a picture of a physically unattractive woman and rated her likeability, perceived attractiveness, and willingness to ask her out, which were averaged to form the composite measure of attraction. We found a significant main effect of imagined contact, as expected. This main effect was moderated by appearance orientation, but not by perceivers' physical attractiveness. The effect of imagined contact was significant among those low in appearance orientation, but not among those high in appearance orientation.
The purpose of this paper is to examine learning motivational process models, based on Self-Determination Theory(SDT) in academic settings. I examined if SDT's assumptions would fit for Korean adolescents, using a learning motivation scale(LMS), Basic Needs-autonomy, competence, and relatedness-Satisfaction Scale(BNSS), academic grades and life-quality scales, and also tried to search for the adequate motivational process models for Korean adolescents through regression analysis and structural equation model analysis. The results of this study are as follows. Basic needs satisfaction influences positively on the development of self-determinative motivation, which influences positively on academic achievement. But academic achievement and self-determinative motivation doesn't always influence on subjective well-being positively. And Korean adolescents who study autonomously or achieve good grades, are not better in a dimension of subjective well-being than others. Basic needs satisfaction while growing is more important than any other variables to improve adolescents' autonomous motivation, academic achievement and subjective life qualities.
A trustworthy counseling relationship is an important variable for an effective counseling progression and counseling goal achieving. This study was designed to examine effects of ambivalence over emotional expressiveness and counselor perception on working alliance. Objects of this study were clients in university counseling centers, counseling centers for adolescents and private counseling institutes. Clients were asked to answer an ambivalence over emotional expressiveness questionnaire, a counselor perception questionnaire and a working alliance questionnaire. Total 97 cases were collected and the data was analysed by multiple regression method. The results were as followed; ambivalence over emotional expressiveness was not significantly related to working alliance. However, counselor perception was significantly related to working alliance. That is, the more positively counselors were perceived, the better working alliance was. Effects of counselor perception's sub-factors on working alliance were also found; attractiveness was significantly related to working alliance but trustworthiness and expertness were not. An interaction of ambivalence over emotional expressiveness and counselor perception on working alliance was also significant. As for those clients who were high at the ambivalence over emotional expressiveness, working alliance was increased in case they had positive counselor perception. In conclusion, it is not personality factors but that counselor perception that makes the difference in working alliance
The goal of this study was to explain the phenomenon of making efforts to overcome the need-reality collision as a cultural characteristic of Koreans. Specifically, we examined whether the behavior varies depending on the degree of relational agency in the situation where conflicts between one's needs and reality have occurred. To this end, a total of 217 participants participated in the online experiment, and the data of 156 participants were finally analyzed. After responding to the relational agency scale, the participants were exposed to a decision-making scenario in which conflicting factors existed. The scenario were about buying a house and making a wedding hall contract, and in each scenario, two important values were set to conflict with each other in the market. Participants read the scenario and entered the level they wanted for each value. After that, they encounter a situation in which he or she has not found the candidate site corresponding to the level he or she wants. Then, the participants responded to their willingness to make additional efforts themselves. As a result of the study, the degree of relational agency of the participants showed a positive relationship with the degree of additional effort. In addition, the degree of the desired level beyond the reality (expectancy discrepancy) showed a nonlinear (reverse U-shape) influence on the additional effort while controlling for individual difference. Furthermore, the interaction effect between relational agency and expectancy discrepancy was significant. Specifically, individuals with low agency did not have a significant relationship between the degree of expectancy discrepancy and the dependent variable, but individuals with high relational agency had a significant non-linear relationship between the degree of expectancy discrepancy and the dependent variable. Based on the results of the study, the role and function of Koreans' psychological characteristics (relational agency) in the scene of managing needs-reality collision were discussed.
The Journal of the Korea institute of electronic communication sciences
/
v.18
no.6
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pp.1321-1330
/
2023
This study attempts to address the problem of 3D pose estimation for multiple human objects through a single image generated during the character development process that can be used in augmented reality. In the existing top-down method, all objects in the image are first detected, and then each is reconstructed independently. The problem is that inconsistent results may occur due to overlap or depth order mismatch between the reconstructed objects. The goal of this study is to solve these problems and develop a single network that provides consistent 3D reconstruction of all humans in a scene. Integrating a human body model based on the SMPL parametric system into a top-down framework became an important choice. Through this, two types of collision loss based on distance field and loss that considers depth order were introduced. The first loss prevents overlap between reconstructed people, and the second loss adjusts the depth ordering of people to render occlusion inference and annotated instance segmentation consistently. This method allows depth information to be provided to the network without explicit 3D annotation of the image. Experimental results show that this study's methodology performs better than existing methods on standard 3D pose benchmarks, and the proposed losses enable more consistent reconstruction from natural images.
Journal of The Korean Association For Science Education
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v.29
no.1
/
pp.116-136
/
2009
Since there are differences in the content, structure and functions of interpersonal communication during the practice of school science classes, it needs to articulate the difference of the modality of pedagogical practice in order to understand science teaching in detail. These characteristics of science teaching can be investigated by further insightful analysis on language in the science classroom. In this study, classroom discourse language codes using Bernstein's code theory were analyzed in the case of a middle school science class on the unit of minerals. The discourse language code was identified by the value of classification, which revealed power relations to the contexts of discourse and participants of discourse. It was also identified by the value of framing, which showed hierarchical relation between teacher and students as discourse subjects, and discursive control on the initiative of discourse. The results addressed that six types of discourse language codes were constructed and that those language codes reflected diverse modalities of science teaching from student-centered instruction to teacher-centered instruction in relation to classroom discourse. The modality of science teaching according to the transition tendencies of discourse language code showed dynamic variations of 'controlled student-centeredness inducing teaching' - 'positional student-centeredness permissive teaching' - 'controlled students' participation permissive teaching' - 'controlled student-centeredness facilitative teaching' - 'student-centeredness enhancing teaching'. In addition, results released that discursively and hierarchically weak control of discourse is necessary for enhancing student-centeredness of science teaching. Moreover, teaching practice enhancing student-centeredness can be accomplished by the harmony of a teacher's perception of discourse language code and his/her orientation to constructivist teaching and student-centered teaching.
KIPS Transactions on Software and Data Engineering
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v.13
no.1
/
pp.35-49
/
2024
Video captioning technology, as a significant outcome of the integration between computer vision and natural language processing, has emerged as a key research direction in the field of artificial intelligence. This technology aims to achieve automatic understanding and language expression of video content, enabling computers to transform visual information in videos into textual form. This paper provides an initial analysis of the research trends in deep learning-based video captioning and categorizes them into four main groups: CNN-RNN-based Model, RNN-RNN-based Model, Multimodal-based Model, and Transformer-based Model, and explain the concept of each video captioning model. The features, pros and cons were discussed. This paper lists commonly used datasets and performance evaluation methods in the video captioning field. The dataset encompasses diverse domains and scenarios, offering extensive resources for the training and validation of video captioning models. The model performance evaluation method mentions major evaluation indicators and provides practical references for researchers to evaluate model performance from various angles. Finally, as future research tasks for video captioning, there are major challenges that need to be continuously improved, such as maintaining temporal consistency and accurate description of dynamic scenes, which increase the complexity in real-world applications, and new tasks that need to be studied are presented such as temporal relationship modeling and multimodal data integration.
This paper proposes a rapid detection algorithm of a salient region for music video browsing system, which can be applied to mobile device and digital video recorder (DVR). The input music video is decomposed into the music and video tracks. For the music track, the music highlight including musical chorus is detected based on structure analysis using energy-based peak position detection. Using the emotional models generated by SVM-AdaBoost learning algorithm, the music signal of the music videos is classified into one of the predefined emotional classes of the music automatically. For the video track, the face scene including the singer or actor/actress is detected based on a boosted cascade of simple features. Finally, the salient region is generated based on the alignment of boundaries of the music highlight and the visual face scene. First, the users select their favorite music videos from various music videos in the mobile devices or DVR with the information of a music video's emotion and thereafter they can browse the salient region with a length of 30-seconds using the proposed algorithm quickly. A mean opinion score (MOS) test with a database of 200 music videos is conducted to compare the detected salient region with the predefined manual part. The MOS test results show that the detected salient region using the proposed method performed much better than the predefined manual part without audiovisual processing.
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