• Journal of the Korean BIBLIA Society for library and Information Science
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• v.27 no.1
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• pp.217-235
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• 2016

Humanities academia and scientific community have been fused together in 21st centurty and it creates new theories and models. Among them, the embodied cognition theory has received attention in several related fields. This study reviews the major metatheories in information user behavior with their limitations. Then, "Life paradigm information behavior model" is suggested as a new theory, which communsurates with new era's request, introducing the embodied cognition theory and the entropy concept. By overcoming the limitations of individual approach to the information retrieval and user behaviors, we expect the discourse of the new integrated information retrieval paradigm.

• KIISE Transactions on Computing Practices
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• v.23 no.11
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• pp.641-649
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• 2017

As Internet of Things devices become pervasive, services improve to better assess the context and to alert other users to deal with emergencies. Such services use Internet of Things devices to detect the context around the user and promptly notify public institutions, hospitals or other parental users in emergencies. Most of these systems analyze an event when the value of the device is unchanged for a period of time or if it detects an abnormal value. However, just monitoring sensor values makes it difficult to accurately understand the context surrounding a user. Also if the device is inactive, it can not identify the context or provide services again. However, understanding the user requirements, services provided through other devices, information sent to other users lets, appropriate actions be taken. This paper, proposes a device search method and system based on a context-aware model that includes user demands. The proposed system analyzes the user's context and demands by using data collected from the internet of things devices. If user devices are inactive, they can recognize other devices by searching for other devices and providing services to users again. Through the proposed method, the user-centric services are provided. This method also analyzes and responds to requirements in various emergencies.

• Journal of the Korean Institute of Intelligent Systems
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• v.27 no.2
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• pp.150-156
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• 2017

In July, 2015, the Korean national assembly passed 'Act on Capital Markets and Financial Investments,' and therefore, it was expected that the crowd funding would be activated owing to a variety of fundraisings and investments. Hence, for the success of the crowd funding, this paper tried to identify the factors affecting the funding. In this study we analyzed the core variables of the Unified Theory of Acceptance and Use of Technology(UTAUT) and their perceived risks on the crowd funding participants' intentions as well as the mediating effects of the attitudes; the core variables of UTAUT were performance expectancy, perceived risk, facilitating conditions, social influence, and the like. As a result, it was found that such facilitating conditions as performance expectancy and social influence would affect crowd funding participants' intention positively, but that effort expectancy and perceived risk would not significantly affect their intention. On the other hand, as a result of testing the mediating effects of the attitudes, it was found that performance expectancy and social influence would have significant mediating effects on participants' intention.

• Journal of the Korea Society of Computer and Information
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• v.26 no.5
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• pp.31-38
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• 2021

This study empirically investigated the user's experience with based on the Technology Acceptance Model. According to the frequency analysis results, the usability for learning was evaluated relatively higher than that for appreciation from the perspective of perceived usefulness and the technical factors such as graphics and modeling raised the issue for the quality improvement. According to the results of the correlation analysis, the usability for learning correlated with the degree of satisfaction. In addition, all detailed factors of perceived ease of use positively influenced on the degree of satisfaction and the impact of the environmental factor on the degree of satisfaction was greatest. The degree of satisfaction with the VR application significantly correlated with the degree of immersion and behavioral intention to the VR application. Therefore, this study proved the suitability for the Technology Acceptance Model as a tool for evaluating a VR application.

• Korean Journal of Construction Engineering and Management
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• v.18 no.2
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• pp.38-48
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• 2017

Finding causes of workers' unsafe behaviors is important to prevent construction accidents because 80 percent of accidents occur by workers' unsafe behaviors. In this regard, this research aims to investigate possible reasons of workers' unsafe behaviors based on workers' cognitive process model using System dynamics. This study is based on two ways of workers' cognitive process which are in relation to hazard perception and failure of hazard perception. Based on existing literature, causal loops for workers' cognitive process are developed to explain workers' habituation by staying out of accidents, safety learning by experience, failure of hazard perception, and attitude change by accidents. The interactions between the developed loops provide managerial insights to reduce workers' unsafe behaviors from a safety manager's perspective including increasing the probability of workers' hazard perception through knowledge management, maintaining workers' positive attitude toward safety, and controlling first-line supervisors to eliminate workers' unsafe behavior. The research allows us to better understand the causes and solutions of workers' unsafe behaviors in workers' cognitive perspectives.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.265-273
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• 2014

In this paper, context-aware technologies using a Kinect sensor for a digital signage which is increasingly growing as the 4th screen media is presented. Generalized context-aware functions for a digital signage were studied and a context-aware digital signage platform was developed. It can support a natural user interface for controlling a digital signage and actively provide contents adapted to its context. As a basic context, user's gesture and voice, the number of users, sound direction were considered. In the future, the advanced functions such as age, gender will be studied. The implemented platform could be a good reference model when developing a general context-aware digital signage.

• Proceedings of The KACE
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• 2018.08a
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• pp.89-91
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• 2018

초 고령사회가 전망됨에 따라 적극적인 문화향유를 즐기는 다양한 신체적 활동성이 있는 새로운 실버세대를 스마트 시니어라고 지칭한다. 이전 연구에서는 스마트 시니어의 신체적 노화나 운동능력 저하를 고려하여 제공하는 맞춤형 UI/UX 콘텐츠 서비스를 제공하였다. 또한 스마트 시니어의 인지 반응 검사를 통하여 인지적 특성 저하 요소를 파악하고 A, B, C 그룹으로 나뉘어 그룹 특성에 맞게 글자 크기, 폰트 종류, 재생 속도 등 설정을 조정하여 맞춤형 UI/UX 콘텐츠를 제공하였다. 그러나 약 180여개의 인지 반응 검사를 진행함에 따라 스마트 시니어의 집중력 저하의 문제점이 있었다. 본 논문에서는 스마트 시니어의 인지 반응 검사지와 온라인 콘텐츠에서 스마트 시니어가 활동하여 변경된 설정 값을 이용하여 유의미한 인지반응 검사지를 추출하고 인지 반응 검사지 결과를 통해 상세한 맞춤형 UI/UX 콘텐츠를 제공하는 모델을 제안한다.

• Journal of Educational Research in Mathematics
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• v.17 no.3
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• pp.201-220
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• 2007

This research is designed to analyze the metacognitive thinking that mathematically gifted elementary students use to solve problems, study the effects of the metacognitive function on the problem-solving process, and finally, present how to activate their metacognitive thinking. Research conclusions can be summarized as follows: First, the students went through three main pathways such as ARE, RE, and AERE, in the metacognitive thinking process. Second, different metacognitive pathways were applied, depending on the degree of problem difficulty. Third, even though students who solved the problems through the same pathway applied the same metacognitive thinking, they produced different results, depending on their capability in metacognition. Fourth, students who were well aware of metacognitive knowledge and competent in metacognitive regulation and evaluation, more effectively controlled problem-solving processes. And we gave 3 suggestions to activate their metacognitive thinking.

• Journal of The Korean Association For Science Education
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• v.35 no.1
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• pp.37-52
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• 2015

In this study, assessment items to examine geocognition on plate tectonics were developed and applied to middle and high school students and college students. Conceptual constructs on plate tectonics are Earth interior structure, specific geomorphology, and geologic phenomena at each plate boundary. Construct for geocognition included temporal reasoning, spatial reasoning, retrospective reasoning, and system thinking. Pictorial data in each item were all obtained from GeoMapApp. Students' responses to the items were analyzed and measured cross-sectionally by Rasch model, which distinguishes persons' ability levels based on their scores for all items and compared them with item difficulty. By Rasch model analysis, Wright maps for middle and high school students and college students were obtained and compared with each other. Differential Item Functioning analysis was also implemented to compare students' item responses across school grades. The results showed: 1) Geocognition on plate tectonics was an assessable construct for middle and high school students in current science curriculum, 2) The most distinguished geocognition factor was spatial reasoning based on cross sectional analysis across school grades, 3) Geocognition on plate tectonics could be developed towards more sophisticated level through scaffolding of relevant instruction and earth science content knowledge, and 4) Geocognition was not a general reasoning separated from a task content but a content-specific reasoning related to the content of an assessment item. We proposed several suggestions for learning progressions for plate tectonics and national curriculum development based on the results of the study.

• Korean Journal of Cognitive Science
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• v.19 no.3
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• pp.297-310
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• 2008

Since speech acts implies speakers' intentions, it is essential to determine speakers' speech acts if we want to implement an intelligent dialogue system. We propose a two-step model for effectively determining speakers' speech acts. In the first step, the proposed model returns speech act candidates by using a neural network model based on machine learning and a predictivity model based on statistics, respectively. In the second step, using speech act candidates which are returned by the predictivity model, the proposed model filters out speech act candidates which are returned by the neural network model. Then, the proposed model selects a speech act with maximum output value among the unremoved speech act candidates. In the experiment on a schedule management domain, the proposed two-step modeling method showed better precisions than the previous methods only using a machine learning model or a probability model.