• Smart Media Journal
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• v.11 no.8
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• pp.65-72
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• 2022

Due to COVID-19, the importance of non-face-to-face counseling is increasing as the face-to-face counseling method has progressed to non-face-to-face counseling. The advantage of non-face-to-face counseling is that it can be consulted online anytime, anywhere and is safe from COVID-19. However, it is difficult to understand the client's mind because it is difficult to communicate with non-verbal expressions. Therefore, it is important to recognize emotions by accurately analyzing text and voice in order to understand the client's mind well during non-face-to-face counseling. Therefore, in this paper, text data is vectorized using FastText after separating consonants, and voice data is vectorized by extracting features using Log Mel Spectrogram and MFCC respectively. We propose a multi-emotion recognition model that recognizes five emotions using vectorized data using an LSTM model. Multi-emotion recognition is calculated using RMSE. As a result of the experiment, the RMSE of the proposed model was 0.2174, which was the lowest error compared to the model using text and voice data, respectively.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.34 no.2
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• pp.275-294
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• 2023

This study aims to analyze usability of public libraries' metaverse platform. This study also examines factors that affect usability and immersion of metaverse platform of Gangbuk culture information library, Hanbat library in Daejeon, and Mapo Central library. In order to conduct this study, 60 college students participated in online survey and experiment. There was a statistically significant positive relationship between learnability and usability, and between GUI and immersion in every library. Learnability and usability of Gangbuk culture information library were statistically significantly higher than other libraries. On the other hand, GUI score and immersion of Hanbat library was significantly higher than other libraries. However, given that there were few users connected to metaverse platform, there was no significant difference in interactivity among libraries. This study examines characteristics (including strengths and weaknesses) of metaverse platform of each library. It is expected that the results of this study could contribute to the improvement of usability of public library's metaverse platform.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.241-252
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• 2024

We analyze the types of Web3 business model innovation (BMI) of the six major Korean game companies by market size. As a result of the analysis, Nexon is watched as the adapter. It introduces blockchain (BC) layer 2, 'Polygon' to the extended ecosystem such as the creator's secondary creation, item utility, and compensation experience using the existing core intellectual property (IP). KakaoGames and Neowiz are watched as the adventurers. KakaoGames introduces BC layer 2, 'Polygon' and 'Near Protocol' to various experiments using tokenomics models in casual games and massively multiplayer online role-playing games (MMORPGs) using several existing popular IPs. Neowiz also introduces BC layer 2, 'Polygon' and 'Avalanche' to the IntellaX platform using existing game IPs. As the reinventor, Netmable positions as a game publisher that releases third-party games based on multi-chain infrastructure such as Klaytn, BNB Chain, Near Protocol, Aptos Foundation, and introduces BC to new core IPs. Finally, there are Wemade and Com2us as the mavericks. They aim to be the Web3 platform operators that create a BC layer 1 ecosystem and provide services that encompass BC games, GameFi, and non-fungible tokens (NFTs). Here are the implications of the four types of BMI. In terms of infrastructure, Nexon, KakaoGames, and Neowiz try to introduce a part of cross-chain, whereas Netmable tries to move toward a complete multi-chain strategy, and Wemade and Com2us also try to consider multi-chain, even if they have the full BC introduction. In terms of defending against market decline, Nexon and Netmable have a different position. Nexon which has a greater market dominance, only tries to continuously experiment, but Netmable is aggressively focusing on monetizing new products. Attacks on growth aspirations also show two different positions. KakaoGames and Neowiz only try to aggressively explore, while WeMade and Com2us try to set new standards for industrial innovation.

• Fashion & Textile Research Journal
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• v.26 no.2
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• pp.179-189
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• 2024

This study aims to explore the influence of product popularity signals on purchase intention in China's open market, with a focus on understanding the interaction effect of fashion product types. The popularity signals were measured through sales volume and review volume. For the experiment, a 2 (sales volume: high vs low) × 2 (review volume: high vs low) × 2 (fashion product type: trend vs basic) factorial design was employed. The findings of this study are summarized as follows. First, sales volume and review volume, as signals of the popularity of fashion products, did not appear to have a direct effect on purchase intention. Second, the impact of fashion product popularity on purchase intention was found to be contingent on the type of fashion product. When purchasing trendy fashion products, purchase intention was found to be higher under low popularity conditions compared to high popularity conditions. When purchasing basic fashion products, purchase intention was found to be higher under high popularity conditions compared to low popularity conditions. These findings contribute valuable insights for developing marketing strategies that leverage popularity signals for fashion products in China's open markets. Furthermore, the study improves understanding of online fashion product purchasing behavior among Chinese consumers.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.4
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• pp.374-381
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• 2020

According to international regulations, it is mandatory for navigators or engineers to acquire suitable skillsets before their designation as a duty officer on board. One of the most important elements is Maritime English (ME), wherein students are taught a required set of basic skills that enable them to process various documents related to accidents, ship conditions, and inspections. Students have to be equipped not only with the use of general English skills but also with the coherent use of technical terms and phrases. However, due to the unique circumstances that exist in the maritime domain, the methods used for imparting maritime knowledge and the manner in which it is evaluated are restricted. Hence, this study aims to utilize an online Maritime English learning and testing platform that can be accessed on smart devices to analyze its impact on the students' learning process. An experiment was conducted on two groups of cadets, one that used the platform and another group that did not. After six-week, the experiment results showed a significant difference between the ME test scores of the two groups. The test scores were further analyzed by incorporating the students' personal elements to measure the ef icacy of the ME test platform. Therefore, the learning and evaluation processes are expected to be implemented in ways that are appropriate and convenient to specific circumstances and be widely used in the field of maritime education in the future.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.1
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• pp.62-68
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• 2012

Steady-State Visually Evoked Potentials (SSVEP) are natural response signal associated with the visual stimuli with specific frequency. By using SSVEP, occipital lobe region is electrically activated as frequency form equivalent to stimuli frequency with bandwidth from 3.5Hz to 75Hz. In this paper, we propose an experimental paradigm for analyzing EEGs based on the properties of SSVEP. At first, an experiment is performed to extract frequency feature of EEGs that is measured from the image-based visual stimuli associated with specific objective with affordance and object-related affordance is measured by using mirror neuron system based on the frequency feature. And then, linear discriminant analysis (LDA) method is applied to perform the online classification of the objective pattern associated with the EEG-based affordance data. By using the SSVEP measurement experiment, we propose a Brain-Computer Interface (BCI) system for recognizing user's inherent intentions. The existing SSVEP application system, such as speller, is able to classify the EEG pattern based on grid image patterns and their variations. However, our proposed SSVEP-based BCI system performs object pattern classification based on the matters with a variety of shapes in input images and has higher generality than existing system.

• The Journal of the Korea Contents Association
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• v.12 no.5
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• pp.541-552
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• 2012

The purpose of the study was to investigate the effects of On-Line Community Assisted Team Learning (OCATL) activities on academic achievement and team member's Shared Mental Model(SMM) subscale scores. Two studies were conducted over two semesters in different universities. The first study was aimed at examining the effects of OCATL on university students' academic achievement using pre- and post- experimental design. For this experiment, 133 university students composed of 80 male and 53 female students from 13 colleges participated. The OCATL activities included the orientation of OCATL, seminar on collaborative learning, on-line community assisted team learning with sixteen hour participation during one semester and a final report (or a term paper). To measure these students' academic achievement, their pre- and post-semester's GPA were compared. The results of paired t-test revealed a significant difference in academic achievement (p<.05). The second study was designed to compare the scores of SMM subscales of the experimental group with the OCATL activities and those of the control group without using OCATL activities. The data was collected using the scale of Shared Mental Model(SMM)-short version developed by Johnson in 2011[18]. For this study, 74 participants from 10 teams served as an experimental group and 15 teams which were not exposed to OCATL activities served as a control group. The MANOVA results showed that SMM subscores of two groups measured after the experiment were statistically significantly different: The experimental group with the OCATL activities showed high scores on general task and team knowledge, general task and communication skills, attitudes toward team and task, team dynamics and interactions, team resources and working environment, and satisfaction with the team.

• Information Systems Review
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• v.16 no.1
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• pp.1-15
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• 2014

Despite the sizable growth of the group buying market, consumer complaints have recently raised skepticism about the future of these sites. Thus, building a trustworthy transaction environment has become a critical issue. In exploring a trust-building mechanism, we pay particular attention to the role of merchandisers who specialize in finding products or services and marketing them to potential buyers on group buying sites. The purpose of this study is to examine whether providing merchandiser feedback comments and performance profiles on group buying sites leads consumers to evaluate the community of merchandisers more favorably and makes them more likely to purchase products or services. Research hypotheses were tested with data obtained from 124 subjects who participated in a laboratory experiment. The results empirically demonstrate that merchandiser feedback comments and performance profiles enhance buyers' trust in the community of merchandisers participating in a group buying site. This enhanced trust, in turn, increased buyers' intention to purchase products or services through the group buying site.

• Science of Emotion and Sensibility
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• v.17 no.3
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• pp.107-116
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• 2014

In the current study, it is suggested that when two emotions are presented through cross-modality, such as auditory and visual, incongruence will influence arousal, recognition, and recall of subjects. The first hypothesis is that incongruent cross-modality does not only increase arousal more than the congruent, but it also increases recall and recognition more than congruent. The second hypothesis is that arousal modulates recall and recognition of subjects. To demonstrate the two hypotheses, our experiment's conditions were manipulated to be congruent and incongruent by presenting positive or negative emotions, visually and acoustically. For dependent variables, we measured recall rate and recognition rates. and arousal was measured by PAD (pleasure-arousal-dominance) scales. After eight days, only recognition was measured repeatedly online. As a result, our behavioral experiment showed that there was a significant difference between arousal before watching a movie clip and after (p<.001), but no difference between the congruent condition and incongruent condition. Also, there was no significant difference between recognition performance in the congruent condition and incongruent condition, but there was a main effect of the clips' emotions. Interestingly after analyzing recognition rates separately depending on clips' emotions, there was a significant difference between congruent and incongruent conditions in the only negative clip (p= .044), not in the positive clip. In a detailed result, recognition in the incongruent condition is more than in the congruent condition. Furthermore, in the case of recall performance, there was a significant interaction between the clips' emotions shown in the clips and congruent conditions (p=.039). Through these results, the effect of incongruence with negative emotion was demonstrated, but an incongruent effect by arousal could not be demonstrated. In conclusion, in our study, we tried to determine the impact of one method to convey a story dramatically and have an effect on memory. These effects are influenced by the subjects' perceived emotions (valence and arousal).

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.675-683
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• 2022

Blockchain, which is the basis of virtual assets such as cryptocurrency, is receiving great attention as one of the cornerstone technologies of the 4th industrial revolution. Blockchain is a technology that can fundamentally change our lives not only in finance, but also in politics, logistics, and culture. However, it shows lower-than-expected usability because it is complicated to learn and is continuously being developed. In this study, we tried to investigate whether the Technology Acceptance Model(TAM) of virtual assets can be changed through education on the underlying technology, blockchain. A video-based online experiment was conducted with a total of 103 participants and examined how the type of training(positive, negative) and measurement timing(before, after) affect perceived usefulness, perceived ease of use, acceptance, which are TAM variables, and trust and security, which are related to blockchain characteristics. As a result of the experiment, interactions were found in all dependent variables according to the type of education and measurement timing. Specifically, groups that received negative education had no difference in all variables before and after, but it was found that groups that received positive education showed an increase afterwards. Through this, it can be seen that the effect of education based on the anchoring effect is also shown in the intention to use virtual assets using block chain technology, suggesting that the intention to use blockchain related technology can be increased through positive education.