• Journal of the Ergonomics Society of Korea
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• v.23 no.3
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• pp.73-88
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• 2004

This study was contrived Hierarchical Information Search (HIS) model. HIS model is based on a “cognitive process” in which model, comprising basic human information processing mechanize and information interaction. Its process include 3 semantic cognitive processes: Schema-Association LTM, Form Domain, and Alternative Selection. Design methodology consists to elicitate memory, thinking and cognitive response variables. In case study, menu structure of mobile phone was applied. In result, a correlation between predictive error rate and real error rate was .892. and a correlation between selective and real reaction time was .697. This present to suggest a model of how the methodology could be applied to real system design effectively when this was used. HIS model could become one of the most important factors for success of product design. In the perspective, the systemic methodology would contribute to design a quantitative and predictive system.

• Journal of Technology Innovation
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• v.13 no.1
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• pp.141-167
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• 2005

The purpose of this study is to present the model of performance in new product R&D project team, from the perspective of the problem solving. The quality and commitment of the problem solutions in R&D project team depend on the team's cognitive diversity and affective acceptance. The higher cognitive diversity is, the higher quality of solutions is. And more affective acceptance is, more commitment to the problem solving is. The environmental maturity of team, and quality and commitment of problem solutions in R&D project teams are supposed to relate to the performance of research and development.

• Journal of Korean Institute of Industrial Engineers
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• v.26 no.2
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• pp.136-145
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• 2000

The objective of this study is to evaluate the human performance relating to the layouts of the two different hand switch types with two and three buttons in the nuclear power plants. Using a computer simulation, the cognitive performance for the hand switch layouts was measured on the basis of response and task completion times. Comparative analyses were performed with three different layouts representing the current switch arrangements in the Yonggwang nuclear plants 5 and 6 and Ulchin 3 and 4, respectively. Statistical analyses revealed that the performance of the two-buttoned switch layouts was found to be better than those of the three-buttoned switch. Furthermore, the superiority of the two-buttoned switch type is consistent regardless of various layout types. These results imply that the difference of the cognitive performance can be attributable to the switch types rather than to the switch layouts. Therefore, from the cognitive perspective, the two-buttoned switch type is recommended for future power nuclear plants.

• Research in Mathematical Education
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• v.16 no.3
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• pp.155-176
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• 2012

It is an important issue to explore classroom environments which are conducive to developing students' mathematical performance. This study explores the effects of different classroom environments (solution-demand and corresponding-time setting) on mathematical performances. Fourteen and eighteen prospective teachers were required to prove a task under different conditions respectively: a) Cognitive demand of multiple-solution corresponding time of three hours, and b) Cognitive demand of a right solution corresponding time of 20 minutes. We used SOLO as the assessment tool for mathematical performance from quality perspective. Significant differences were found in the quantity and quality of mathematical performance. The regular environment focusing on speed and accuracy were found to be directly linked to low levels of performance. The findings above provide implications to the cognitive benefits of multiple-solution demand and corresponding time setting.

• Asia Marketing Journal
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• v.22 no.3
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• pp.87-105
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• 2020

With the development of Information Technology, customers require promptly higher quality products and services. Companies try to make newly digital marketing strategies, but there are no empirical researches on them. This article empirically presents a new perspective that companies can shape the customer decision journey ahead by coordinating customer experience. In this article, based on Elaborated Likelihood Model (ELM) theory, customer experience consists of the emotional or cognitive experience. We surveyed about 200 subjects (N = 217) in their 20s and 30s based on the International Music Industry Association's Music Listening 2019 report, then analyzed four different models (before personalization-cognitive experience, before personalization-emotional experience, after personalization- cognitive experience, after personalization-emotional experience) by JASP and R Studio. We conducted Structural Equation Model (SEM) and paired t-test. Personalization factors are about recommendation systems in Spotify. The results of survey represent that companies can shape the Customer Decision Journey (CDJ) ahead especially through enhance cognitive experience. It empirically proves Elaborated Likelihood Model (ELM). The conclusion can be drawn that 'pulling' customer experience can be a new marketing strategies in the digital era.

• Journal of the Korean Home Economics Association
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• v.49 no.7
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• pp.67-80
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• 2011

This study investigated a path model in which men's and women's communication behavior escalating marital conflict (CBEMC) may be influenced directly and indirectly, via negative interpretations of their spouse, by their spouse's problem behavior, the couple's turning toward bids, and dyadic perspective-taking. Self-report data were collected from 498 married men and women who were living in Busan, Korea. Multiple-group analysis revealed that the path model was not equivalent for men and women. Their couple's turning toward bids and dyadic perspective-taking for men, and their spouse's problem behavior and dyadic perspective-taking for women, had direct effects on CBEMC. Further, their spouse's problem behavior and the couple's turning toward bids had indirect effects on CBEMC through negative interpretations in both men and women. The indirect effect of dyadic perspective-taking on CBEMC was significant only for men. Finally, considering total effects, dyadic perspective-taking was the strongest predictor of CBEMC for both genders.

• Journal of Information Technology Services
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• v.18 no.4
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• pp.1-22
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• 2019

Companies have attempted to build a rational and future-oriented new personnel system in order to adapt and survive in a rapidly changing environment. Recently, Samsung, LG, SK, and CJ, which are large domestic corporations, have been introducing new types of simplified personnel systems competitively. Although there are several prior studies that tried to classify these simplified personnel systems from a strategic point of view, there is a lack of empirical research in terms of the specific types from the perspective of employees. Therefore, in this study, an empirical study on the simplified personnel system which has currently been highlighted was carried out. The relationship between perceived justice (i.e., distributive justice and procedural justice) and organizational effectiveness (i.e., organizational commitment and innovative behavior) were tested. In addition, the mediating role of cognitive attitude as well as the moderating role of cognitive intensity in the simplified personnel system were investigated. The results of structural equation model using 157 survey data show that both distributive and procedural justice have a positive effect on cognitive attitude toward the simplified personnel system, which in turn leads to increased organizational commitment and innovative behavior. Interestingly, it is found that cognitive intensity intensifies the effect of distributive justice on cognitive attitude, whereas it attenuates the influence of procedural justice as expected. This study is among one of the first empirical studies focusing on the simplified personnel system and expands the concept of related variables such as perceived justice, cognitive attitude, and cognitive intensity in this context. Moreover, by clarifying the causal relationship between perceived justice and organizational effectiveness through the roles of cognitive attitude and cognitive intensity, it could provide several practical implications to managers who are interested in the introduction and early settlement of simplified personnel systems in a successful manner.

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2000.05a
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• pp.322-328
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• 2000

This study discusses cognition as a computable mapping in cognitive system and relates G del's Incompleteness Theorems to the computability of cognition from a metamathematical perspective. Understanding cognition as a from of computation requires not only Turing machine models but also neural network models. In previous studies of computation by cognitive systems, it is remarkable to note how little serious attention has been given to the issue of computation by neural networks with respect to G del's Incompleteness Theorems. To address this problem, first, we introduce a definition of cognition and cognitive science. Second, we deal with G del's view of computability, incompleteness and speed-up theorems, and then we interpret G del's disjunction on the mind and the machine. Third, we discuss cognition as a Turing computable function and its relation to G del's incompleteness. Finally, we investigate cognition as a neural computable function and its relation to G del's incompleteness. The results show that a second-order representing system can be implemented by a finite recurrent neural network. Hence one cannot prove the consistency of such neural networks in terms of first-order theories. Neural computability, theoretically, is beyond the computational incompleteness of Turing machines. If cognition is a neural computable function, then G del's incompleteness result does not limit the compytational capability of cognition in humans or in artifacts.

• Journal of The Korean Association For Science Education
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• v.27 no.6
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• pp.497-509
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• 2007

Among many remedial approaches against the increasing unfavorableness toward school science, one of the prevalent findings studied by affective experts is that students' achievement in science and their attitude toward it has a relatively weak relationship. In contrast, cognitive experts assert that the conceptual change involves more than cognitive aspects, and may be influenced by affective factors such as beliefs, motivation, learning attitudes, and sociocultural contexts. The latter regards continuous conceptual change as leading to better student understanding of science with variables of students' attitude toward science. As an initial step toward illuminating the affective-cognitive learning aspects of science, the purpose of this study is to develop an instrument for analyzing the relationship between students' conceptual understanding and affective factors. Cognitive questionnaires from the database of distribution in students' misconceptions of physics (DMP project), and affective questionnaires from the Relevance of Science Education (ROSE project) are integrated into our instrument. The respondents are high school students in Okayama prefecture, Japan. Through the pilot test, the authors integrated attitude toward science (AS) and interest inventory (II) from ROSE into cognitive understanding (CD) from DMP. Statistical methodologies such as factor analysis and item total correlation theoretically discerned the effective sixty-three items from the two original item pools. Having discussed two validity issues, the authors suggest ongoing research associated with our affective-cognitive research perspective.

• Asia pacific journal of information systems
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• v.14 no.1
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• pp.125-142
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• 2004

Knowledge management has been increasingly recognized as important in business management context. Although knowledge management has been proposed as an enabler to reach competitive advantage, little research has considered applying knowledge to business decision-making activities, which may be the main task of enterprise management. The application of knowledge to decision-making has a more significant impact on organizational performance than mere knowledge management for operational level processing. For this purpose, the present study proposes a decision support loop based on the integration of knowledge by adopting a cognitive modeling approach. The proposed model is then discussed, in the real context of an application case.