• Title/Summary/Keyword: Emotional Information and Communication Technology

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A Semantics Analysis in the Net Arts fran a Cybernetics Perspective (사이버네틱스 관점에서 본 넷 아트에 나타난 의미론적 분석)

  • Eun, Chang Ik
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.7 no.3
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    • pp.123-136
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    • 2011
  • Arts gains a new relation as the new academic area that deals with living organisms and through this technology, it affects everything, such as the body, entity, consciousness and unconsciousness to bring an overall change. Based on this premise, arts require a different interpretation from the previous product-focused interpretation or the analysis focusing on the aesthetics. As the result of arts using the scientific methods, I examined the changes of the arts semantics and how it evolved with what kind of contents and characteristics. The net art with the internet base also form a close relationship with the social and cultural codes. In categorizing the social issues and the topical discussions with semantic factors that evolve from the digital biological perspective, it can be divided into four types of complex interaction, positive feedback negative feedback, and amplification of unsettledness. Based on the characteristics of the multimedia and the interactive reaction, the technique and the imagery amplify the message through a spatial and timely meeting in a mutual repletion. In other words, the emotional communication is used to attempt the messages from the products and the expression in various methods.

An Investigation of Haptic Interaction in Online Negotiation between different native language people

  • Chen, Meng;Okada, Shogo;Nitta, Katsumi
    • Journal of Korea Society of Industrial Information Systems
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    • v.17 no.1
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    • pp.11-20
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    • 2012
  • Due to the development of internet technology, the online business trade becomes an active area. Online negotiation supporting systems have been developing very actively in recent years to meet the growing needs. We have been studying on the effect that the haptic device brings about in interaction through online negotiation between two parties. In order to meet the online negotiation's requirements, the developed interface should be able to protect user's anonymity, convey user's emotion and make the scene alive.In this study, we adopt haptic interaction as a means of conveying emotion in an online negotiation between Japanese and Chinese people. In this study, our goal is to investigate the effectiveness of haptic interaction in communications between Chinese and Japanese users and analyze the characteristis in operation the haptic device. We conducted online negotiation experiments with and without haptic interaction . The comparison experiments results show that the haptic feedback can help to convey the emotion and the sense of presence. The Chinese subjects' feedback for the questionaire concerning the emotional communication and the sense of presence varies slightly compared to the Japanese subjects. We also found when using the haptic device, the force feedback can influence subject's feelings.There is little significant difference between the advanced and the medium subjects in negotiation dialogues and the haptic device's operation, the beginner subjects are slightly at a disadvantage.

Research on the Influence of Interaction, Identification and Recommendation of Entertainment Communication Platform (커뮤니케이션 플랫폼의 상호작용이 동일시와 추천 의도에 미치는 영향)

  • Zhao, Yi-Dan;Choi, Myeong-gil
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.6
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    • pp.23-33
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    • 2021
  • Under the long-term influence of COVID-19, offline activities were interrupted and online communication became the main way. With the rapid development of Korean Wave and network information technology, there have been many entertainment communication platforms. Fans can communicate with stars and other fans and share information through entertainment and communication platforms. This can improve users' perception of the value of entertainment communication platforms, arouse emotional resonance and have a positive impact on users' platform recommendation intention. In this study, the influence of user interaction, identity and recommendation intention of entertainment communication platforms was investigated by questionnaire. The results are as follows: First, the interaction between fans and content has a positive effect on psychological and behavioral identity. Second, the interaction between fans does not affect their psychological and behavioral identity. Third, the interaction between fans and stars has a positive impact on psychological identity and behavior identity. Fourth, psychological identity and behavioral identity have a positive impact on community members' willingness to recommend. Behavioral identity plays a partial mediating role between psychological identity and recommendation intention. Based on the above analysis results, the present situation, limitations and future research directions of this study are put forward.

Analysis about the effect of flipped learning based team activity (플립드 러닝 기반 팀 협동학습 적용 효과분석 연구)

  • Park, Boc-Nam;Shin, Mee-Kyung;Jeon, Hye-Jin
    • Journal of Convergence for Information Technology
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    • v.9 no.6
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    • pp.44-51
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    • 2019
  • This study was performed to explore the difference in communication anxiety and class satisfaction after taking the traditional lecture and flipped learning lecture. Fifty four nursing students participated in this study. The study design was one group pretest-posttest design. 4 weeks traditional lecture and 4 weeks flipped learning lecture was applied. Flipped learning was ineffective in improving communication anxiety (t=1.85, p=.069) of nursing students. But emotional state variables and activity variables in the emotional domain were significantly higher after taking the flipped learning lecture(t=-3.80, p=.000; t=-3.35, p=.001). In addition, all of the variables were higher in the flipped learning based team, in the control of the class activities (t=-3.07, p=.003), personal ability (t=-2.48, p=.016), and class participation(t=-3.25, p=.002). Flipped learning is therefore considered to be effective in training nursing students. This study suggested to investigate the effectiveness of flipped learning and learners' satisfaction.

A Study on the e-Governance Network in the Development Process of Public Mask Applications for COVID-19 (COVID-19 공적 마스크 앱 개발과정에서의 e-거버넌스 네트워크 연구)

  • Lee, Jung-Yong;Lee, Jung-Hyun;Kim, Yong-Hee
    • Informatization Policy
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    • v.28 no.3
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    • pp.23-48
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    • 2021
  • ICT technology development has led to a breakthrough change in government decision making by improving mutual communication between various stakeholders. The formation of ICT-based cooperation network between public organizations and civic tech developers to solve the problem of masks in the COVID-19 pandemic serves as a milestone. The purpose of this study is to examine the properties of e-Governance and analyze the dynamic network structure of the communication process for chat rooms created during the development of public mask apps. First, as a result of the analysis, the possibility of online-based e-Governance can be identified. In addition, the combination of expertise to solve social problems interacted organically within the network. Emotional communication for cooperation between key actors was marked as important for the successful operation of the network.

A Evaluation System for Preference based on Multi-Emotion (다중 감성 기반의 선호도 평가 시스템)

  • Lee, Ki-Young;Lim, Myung-Jae;Kim, Kyu-Ho;Lee, Yong-Whan
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.5
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    • pp.33-39
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    • 2011
  • In modern society, in business decisions of our customers are continually increasing in importance, and owing to the development of information and communication technology effectively on a computer to measure the preferences of key customer techniques are being studied. However, this preference reflects significantly on personal ideas, and therefore, it is difficult to commercialize a measure calculated according to the ambiguous results. In this paper, by using biometric information that has been measure; we have configured the multi-sensitivity models based on customer preferences to evaluate the proposed system. This system consists of multiple biometric information of multi-dimensional vector model for learning through the use of structured emotional to apply the same criteria to evaluate customer preferences. In addition, by studying the specific subject-specific emotion model, it is shown to improve accuracy with further experiments.

Machine Learning Algorithm Accuracy for Code-Switching Analytics in Detecting Mood

  • Latib, Latifah Abd;Subramaniam, Hema;Ramli, Siti Khadijah;Ali, Affezah;Yulia, Astri;Shahdan, Tengku Shahrom Tengku;Zulkefly, Nor Sheereen
    • International Journal of Computer Science & Network Security
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    • v.22 no.9
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    • pp.334-342
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    • 2022
  • Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.

Building a New Smart City: Integrating Local Culture and Technology (지역문화와 기술이 융합된 새로운 스마트시티 구축)

  • Sim, Keebaik;Hwang, Woo-Sung;Choi, Myung-Ryul
    • Journal of Digital Convergence
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    • v.17 no.9
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    • pp.193-198
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    • 2019
  • In smart cities around the world, urban environments have become more convenient due to information and communication technology(ICT). However, extant studies reveal that the level of life satisfaction of citizens has not improved compared to that of the pre-smart city and citizens are skeptical about the role of the smart city. This is largely because local culture and needs were neglected during the planing and development of the smart city. The research was conducted on Cambodia as a pilot site and our findings indicate that middle age group's population is significantly small and the society is at risk of losing its culture. Therefore, this paper opens up various ways of embedding cultural programs using technology in order to pass down cultural heritage to young generation, provide an emotional attachment to the inhabitants and further build up a new phase of cultural legacy. This will engender cultural uniqueness to the city and intrigue tourists around the world resulting in the growth of the tourist industry. This research will contribute locally by providing a sense of community to the public and globally by suggesting applicable methodology to other cities that are under the similar context.

Effects of Customer Relationship Management of Productive Welfare Institutions on Management Performance (생산적복지기관의 고객관계관리(CRM)가 경영성과에 미치는 영향)

  • Lee, Jin-Yeol
    • Journal of Convergence for Information Technology
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    • v.9 no.10
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    • pp.64-70
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    • 2019
  • In this study, the effect of customer relationship management on the management performance of productive welfare institutions was to be analyzed empirically. For this study, data were collected from 129 participants of productive welfare institutions in Busan. The results of this study are as follows. First, contact services and communication have a statistically significant impact on the financial performance of productive welfare institutions. Second, contact services and communication have a statistically significant impact on non-financial performance of productive welfare institutions. Based on the results of this study, the following suggestions are made. First, institutionalization of CS(customer service) education should be carried out in order to improve the management performance of productive welfare institutions. Second, participants' emotional support programs are needed to improve the management performance of productive welfare institutions.

Factors Affecting Job Performance and Turnover Intention of Call Center Representatives : Focusing on Individual Characteristics and Organizational Characteristics (콜센터 상담사의 직무성과 및 이직의도에 영향을 미치는 요인 : 개인특성과 조직특성을 중심으로)

  • Jeong, Kyeongsook;QU, MIN
    • Journal of Information Technology Services
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    • v.19 no.6
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    • pp.55-82
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    • 2020
  • This study examined the factors that influence the turnover intention, job performance of call center representatives based on the adaptive structuration theory (AST). This study intended to empirically examine how individual characteristics of representative affect the technological and task adaptation, how they affect job performance and turnover intention. On the other hand, this study also explains how rational culture and organization a reputation which are considered as dimensions of organizational characteristics affects organizational commitment, and verifies the relationship between organizational commitment and job performance and turnover intention. Finally this paper aim to provide academic and practical implications. In order to solve the above research problems, this research proposed a model based on the adaptive structuration theory. In order to identify the relationship between the proposed variables and the AST for individual, we conducted an empirical test on the call center representatives. The structural equation model was used to verify the research model and hypotheses. The results of the empirical analysis show that the personal characteristics of counselors, such as communication skills, multitasking abilities, and innovativeness have a positive effect on skill adaptation, and skill adaptation has a positive effect on task adaptation, furthermore, it influences on job performance and turnover intention Respectively. In addition, among the factors of organizational environmental dimensions of the call center, it was found that organizational reputation not only increase continuance commitment but also increase normative commitment. Contrary to our expectations, perceived rational culture didn't have a positive effect on organizational commitment. Also, continuance commitment and normative commitment are valid predictors of job performance, but they have nothing to do with turnover intention. On the contrary, emotional commitment is the only one variable among three dimensions of organizational commitment have a positive effect on turnover intention, but is not a valid predictor of job performance.