• International Journal of Advanced Culture Technology
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• 제7권1호
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• pp.96-102
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• 2019

The purpose of this study was to examine the effects of applying a program to enhance social information processing ability in schizophrenic patients. We confirmed the positive effects of the program on the theories of mind and attribution style, which are the social information elements of patients, and confirmed the effect of decreasing paranoid ideation. We used the theory of mind(hinting task, the false belief task), the attributional style questionnaire(external bias, personal bias), and the paranoia scale to test the effectiveness of the program. Specifically, in theory of mind, hinting task performance was improved(t=4.14, p=.000),. The scores of personal bias(t=-7.9, p=.000) and paranoid ideation(t=-2.98, p=.004) decreased. Further research is needed to verify the effectiveness of meta - cognitive training to enhance social information processing.

• Journal of Information Technology Applications and Management
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• 제17권3호
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• pp.191-211
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• 2010

Existing models of knowledge processing do not feature a systemic meaning of knowledge management and ignore the role of leadership and social energy in the knowledge processing system (KPS). This conceptual paper introduces the Leadership Invigorating Flows of Energies, (LIFE) Model as an attempt to remedy that situation and provide a more useful description of the KPS. The LIFE Model highlights the role of emergent leadership and flows of social energies as forces encouraging knowledge creation and dynamic diffusion within an organization through the Knowledge Processing Cycle in eight activities interacting with its social knowledge base in a self-organizing system.

• 한국정보시스템학회지:정보시스템연구
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• 제23권1호
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• pp.53-71
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• 2014

The center of networking is moving toward mobile from PC based computing environment. The number of smartphone users are increasing rapidly today. One of the most popular smart phone applications is mobile SNS such as Kakao Story, Facebook, Twitter, Mobile Cyworld, etc. Mobile SNS means social network services based on mobile communication technology. This research focused on mobile SNS usage of married women who have not enough time for face-to-face communication with their friends to enhance their friendship. Married women in their 30s and 40s have lots of things to do like housework and caring their children. Mobile SNS would help their communication in aspect such of free of space and time. Through Mobile SNS married women can reinforce their personal relationship and self-esteem. Social Information Processing Theory (SIP) is an interpersonal communication theory developed by Walther(1992). Once established, online personal relationships may demonstrate the same relational dimensions and qualities as face-to-face relationships. The theory explains how people get to know one another online, without nonverbal cues, and how they develop and manage relationships in the computer-mediated environment. The result of empirical analysis indicates that marred women's Mobile SNS activities reinforce their personal relationship and self-esteem.

• Journal of Information Processing Systems
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• 제17권2호
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• pp.213-226
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• 2021

Given that most of the link prediction algorithms for signed social networks can only complete sign prediction, a novel algorithm is proposed aiming to achieve both link prediction and sign prediction in signed networks. Based on the structural balance theory, the local link tightness and global link tightness are defined respectively by using the structural information of paths with the step size of 2 and 3 between the two nodes. Then the total similarity of the node pair can be obtained by combining them. Its absolute value measures the possibility of the two nodes to establish a link, and its sign is the sign prediction result of the predicted link. The effectiveness and correctness of the proposed algorithm are verified on six typical datasets. Comparison and analysis are also carried out with the classical prediction algorithms in signed networks such as CN-Predict, ICN-Predict, and PSNBS (prediction in signed networks based on balance and similarity) using the evaluation indexes like area under the curve (AUC), Precision, improved AUC', improved Accuracy', and so on. Results show that the proposed algorithm achieves good performance in both link prediction and sign prediction, and its accuracy is higher than other algorithms. Moreover, it can achieve a good balance between prediction accuracy and computational complexity.

• Asia Marketing Journal
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• 제19권4호
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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.

• 한국정보시스템학회지:정보시스템연구
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• 제29권4호
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• pp.57-76
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• 2020

Purpose Although examining the antecedents of employees' extra-role behavior (i.e. information security participation behavior) in the information security context is significant for researchers and practitioners, most behavioral security studies have focused on employees' in-role behavior (i.e. information security policy compliance). Thus, this research addresses this gap by investigating how organizational information security climate influences information security participation behavior based on social information processing theory and Griffin and Neal's safety model. Design/methodology/approach We developed a research model by applying Griffin and Neal's safety model to the information security context and then tested our research model by conducting an online survey for employees of organizations with information security policies. Structural equation modeling (SEM) with SmartPLS 3.3.2 is used to test the corresponding hypothesis. Findings Our results show that organizational information security climate, information security knowledge, information security motivation are effective in motivating information security participation behavior. Also, we find that organizational information security climate positively influences both information security knowledge and information security motivation. Our findings emphasize the importance of organizational information security climate because it is capable of affecting employees on information security participation behavior. Our study contributes to the literature on information security by exploring the role of organizational information security climate in enhancing employees' information security participation behavior.

• Educational Technology International
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• 제10권1호
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• pp.25-40
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• 2009

The purpose of this study was to explore procedures and modalities on collaborative visualization processing of text information for developing e-Learning contents. In order to investigate, two research questions were explored: 1) what are procedures on collaborative visualization processing of text information, 2) what kinds of patterns and modalities can be found in each procedure of collaborative visualization of text information. This research method was employed a qualitative research approaches by means of grounded theory. As a result of this research, collaborative visualization processing of text information were emerged six steps: identifying text, analyzing text, exploring visual clues, creating visuals, discussing visuals, elaborating visuals, and creating visuals. Collaborative visualization processing of text information came out the characteristic of systemic and systematic system like spiral sequencing. Also, another result of this study, modalities in collaborative visualization processing of text information was divided two dimensions: individual processing by internal representation, social processing by external representation. This case study suggested that collaborative visualization strategy has full possibility of providing ideal methods for sharing cognitive system or thinking system as using human visual intelligence.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2022년도 춘계학술발표대회
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• pp.9-11
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• 2022

Community detection is a hot topic in social network analysis, and many existing studies use graph theory analysis methods to detect communities. This paper focuses on detecting absolute fair maximal balanced cliques in signed attributed social networks, which can satisfy ensuring the fairness of complex networks and break the bottleneck of the "information cocoon".

• Asia pacific journal of information systems
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• 제9권3호
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• pp.1-23
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• 1999

The objective of this study is to examine the media richness theory and the social information processing model by analyzing the effect of media experience on media perception and communication process. To accomplish this objective, a laboratory experiment was conducted. The independent variable was text medium experience and a face-to-face medium was added as a control group. The dependent variables were medium perception and communication process. Medium perception includes perceived richness, medium feeling, task satisfaction, and communication satisfaction. Communication processes were also analyzed to compare each treatment group. The results can be summarized into two facts. First, face-to-face group showed higher perceived richness than text medium group. And experienced text medium group perceived their text medium richer than inexperienced text medium group. Second, experienced text medium groups showed more interactions between subjects than inexperienced text medium group. Experienced text medium group also showed more agreements and meta-communication which could be found in face-to-face group. The result of this study supported media richness theory by finding that face-to-face medium was perceived richer than text medium, And the results also proved social information processing model by comparing experienced text medium group and inexperienced text medium group. The text medium, although thought to be the leanest one, could be perceived richer if users had lots of experience on it.

• 정보처리학회논문지B
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• 제9B권6호
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• pp.817-826
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• 2002

한국어대화에서는 존대현상(honorification phenomenon)이 일어나기도 하고, 존대대명사(honorific pronoun)가 사용되기도 하며, 맥락상 되찾을 수 있으면 주어나 목적어가 완전히 생략되기도 한다. 이러한 특징적인 언어현상이 일어나는 한국어대화를 처리하고 그것의 표상구조를 만들기 위해서 대화참석자에 관한 정보, 발화문의 화행에 관한 정보. 대화에 관련된 사람들의 사회적 지위에 있어서의 상대적 순위에 관한 정보, 대화에 나타나는 발화문 사이의 정보흐름 등을 묵시적으로가 아니라 명시적으로 표시하고 이용할 것을 본 논문은 제안한다. 또한. 본 논문은 이러한 상황정보(situational information)를 표시하고 이용하는 방법과 한국어대화의 적절한 표상구조를 제시한다. 본 논문에서 한국어대화표상구조의 설정은 담화표상이론(Discourse Representation Theory)과 분할담화표상이론(Segmented Discourse Representation Theory)을 수정ㆍ확대하여 이루어진다. 나아가서, 본 논문은 한국어대화를 전산적으로 어떻게 처리하고 그것의 표상구조를 구축하는지를 프롤로그 프로그래밍 언어를 사용하여 보여주고 나서, 그러한 표상구조의 타당성을 알아보기 위해 자연발생적 한국어대화에도 적용시켜 본다.