• Journal of The Korean Association For Science Education
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• v.23 no.3
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• pp.276-285
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• 2003

In the earlier study, Park (2002) described the process of student' conceptual change as a successive refinement and articulation of their conceptual framework. In this study, the process of conceptual change for three university students were analyzed more in depth. As results, six types of conceptual change through successive refinement and articulation were observed: (1) original conception was elaborated in detail, (2) conception was differentiated according to the context, (3) some conceptions were re-explained theoretically after construction it based on experimental data, (4) non-coherent conceptions in the early stage get to have coherency in the later stage, (5) model of explanation gets to be complicated by excluding ideal conditions, (6) qualitative explanations were changed into quantitative ones.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.157-159
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• 2004

본 논문에서는 웹 문서를 XML 문서로 변환하기 위한 논리적 구조분석 방법을 제안한다. 제안된 방법은 비주얼 그룹화, 요소 식별, 그리고 논리적 그룹화의 세 단계로 구성된다. 특히 정교한 수준의 논리적 구조분석을 지원하기 위하여 특정 주제에 속하는 문서 유형의 논리적 계층 구조를 효과적으로 기술할 수 있는 문서 모델을 정의한다. 제안된 방법은 비주얼 그룹화를 통해서 추출된 시각적 계층구조와 문서 유형에 대한 논리적 구조 정보를 기술한 문서 모델에 기반하기 때문에 보다 정교한 수준의 구조 분석을 지원한다. 제안된 방법의 성능을 평가하기 위하여 웹으로부터 추출한 다수의 HTML 문서를 대상으로 실험한 결과, 기존 연구라 비교하여 논리적 구조분석을 성공적으로 수행하였다. 제안된 방법은 논리적 구조분석의 최종 결과로서 XML 문서를 생성하기 때문에 문서의 재 사용성을 높인다.

• Journal of Korean Society of Forest Science
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• v.96 no.4
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• pp.377-386
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• 2007

This study testes an application possibility of the Elaboration Likelihood Model broadly used in communication science into forest science and examines the communication effects according to the media types. To examine the effectiveness of this model, the study sets involvement, the need for cognition, and the need for effect as motivation variable and prior knowledge as an ability variable. Most variables appear to be significant in the regression analysis and results of the study verify the possibility of the application of the Elaboration Likelihood Model in forest science. To measure the media effects, a simulation is also carried out using three media including television, newspaper, and the Internet. According to ANOVA analysis, television is more persuasive than newspaper, and there is no difference between television and the Internet in terms of persuasiveness. Regarding recall, television and the Internet are more effective than newspaper. Finally, the present study suggests effective and efficient forest communication policies based on the results.

• Journal of KIISE
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• v.44 no.3
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• pp.261-274
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• 2017

Variability management is the foremost criterion that defines the extent to which complexities can be handled in a system. Predominantly, the requirements' engineering (RE) study overlooks, or speculates a consistent behavior of, the environment in which a system functions. In real-time systems it is vital to observe and adjust to an intrinsically changing context. Therefore, in this work we identify the requirements of the system in various contexts by recommending a framework using i* goal model, problem frames, use case maps and live sequence charts. The framework is illustrated using a case study of the smart grid RTP system. In the case study, elaboration of scenarios using use case maps and live sequence charts proved beneficial as they assisted in early analysis and validation of contexts. In addition, the elaboration of requirements for obstacle and conflict analysis assists the requirements engineer to increase the robustness of the system. The proposed framework is evaluated theoretically and by empirical study.

• Journal of the Korea Society of Computer and Information
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• v.29 no.6
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• pp.211-221
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• 2024

Live streaming commerce has emerged as an innovative e-commerce model. This study, based on the Elaboration Likelihood Model (ELM), aims to explore the impact of Key Opinion Consumers' (KOCs) attributes in live streaming commerce on purchase intentions on short video platforms. A survey was conducted with 411 consumers, and data analysis and hypothesis testing were performed using SPSS 24.0 and AMOS 23.0 software. Research has found that differences in consumers' information processing abilities lead to different pathway selections. Central route factors such as recommendation consistency, product involvement, and professionalism, as well as peripheral route factors such as recommendation timeliness, all have significant positive effects on consumers' purchase intention. However, visual cues in the peripheral route do not have a significant impact. This study aims to provide theoretical support and practical guidance for the development of the live streaming commerce industry, and to help companies adjust their promotion strategies based on differences in consumer information processing, thereby improving purchase conversion rates.

• Fashion & Textile Research Journal
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• v.21 no.5
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• pp.574-585
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• 2019

The acceleration of digital transformation (DX) has resulted in SNS influencer marketing trends becoming the mainstream of the new market. SNS influencers act as early adopters in the process of new products being accepted. Chinese consumers are most affected by Hallyu, which increases interest in K-beauty products. This study analyzes how K-beauty SNS influencers are related to Chinese consumers. A survey was conducted among Chinese millennial consumers after watching videos provided by K-beauty SNS influencer; subsequently, 456 responses were used for data analysis. As a result, the analysis based on the Elaboration Likelihood Model (ELM) distinguishes the central route and the peripheral route in the process of Chinese consumers accepting new SNS products. The study findings suggested that information quality, credibility, accuracy, and usefulness had significant effects on acceptance intention for new products among central route factors, and similarity, trustworthiness, pleasure, expertise, and attractiveness also had significant effects on the acceptance intention of new product among peripheral route factors. It was found that variables of the central route, rather than those of peripheral route, had stronger effects on the acceptance intention for new products. Consequently, the central route of K-beauty SNS influencer is more important to Chinese consumers' acceptance of new products. It is expected that this study will offer beauty influencer marketing-based cosmetics brands efficient consumer management suggestions.

• Proceedings of the KSRS Conference
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• 2009.03a
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• pp.296-300
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• 2009

가상현실이나 인터넷 웹지도 서비스와 같이 3차원의 실세계를 시스템 상에 그대로 재현(reconstruction)하기 위해서는 정교하고 세밀한 3차원 도시모델이 필수적이다. 이러한 3차원 도시모델의 자동생성은 원격탐사 및 사진측량 분야에서 많은 연구가 수행되고 있다. 이러한 연구들은 다양한 센서 데이터와 기 구축되어 있는 GIS자료를 이용하여 건물, 도로, 지형 등의 도시모델을 자동으로 생성하고자 한다. 그러나 대부분의 연구에서 추출한 각 기본요소(primitives)-평면패치(planar patches), 에지(edges), 모서리(corners)에 대한 국부적인 정제(refinement)는 수행하였으나, 생성한 건물 모델에 대한 광역적인 조정을 통한 정규화에 대한 연구는 미비한 상태이다. 본 연구에서는 다양한 데이터로부터 생성된 B-rep (boundary representation) 형태의 건물 모델에 대하여 기하학적인 제약요소(constraints)를 이용한 정규화(regularization) 방법론을 제시하고자 한다. 제안하는 방법은 건물의 Domain Knowledge에 기반하여 도출한 건물을 구성하는 기본요소(primitives)간의 인접성, 직교성, 평행성, 교차성 등의 다양한 제약조건을 이용하여 광역적으로 조정한다. 시뮬레이션 데이터에 적용한 결과의 분석을 통해 제안된 정규화 방법을 통해 오차가 포함된 건물모델이 보다 정형화된 형태로 조정되었음을 확인하였다.

• Journal of Educational Research in Mathematics
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• v.14 no.4
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• pp.403-419
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• 2004

The perspective on this study assumes that the mathematical modeling activity provides students with the environment which promotes metacognitive thinking. The purposes of this paper are to investigate metacognitive thinking on the mathematical modeling with the result of case study. The study revealed that development of students' model was accompanied with the control and monitoring of modeling activities. Also students refined the model by self-assessment and peer-assessment in small group modeling activities and developed generalizable model.

• Journal of Digital Contents Society
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• v.19 no.4
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• pp.649-659
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• 2018

We studied on factors influencing product purchase intention in Taobao live streaming shopping by adopting the Elaboration Likelihood Model (ELM). We used the survey method to collect the data and examine the hypotheses. The results are as follows. Source attractiveness has stronger effect on attitude toward product in the condition of hedonic product than in the condition of utilitarian product. Argument Quality has stronger effect on attitude toward product in the condition of utilitarian product than in the condition of hedonic product. In additional analysis, in the condition of the hedonic product, both of the source attractiveness and the argument quality have a positive effect on the attitude toward product. While argument quality has a positive effect on attitude toward product, but the attractiveness has no significant effect on the attitude toward product in the condition of utilitarian product. Finally, attitude toward product has a positive effect on product purchase intention.

• Knowledge Management Research
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• v.24 no.4
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• pp.153-176
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• 2023

Generative AI, especially conversational AI like ChatGPT, has recently gained traction as a technological alternative for automating customer service. However, there is still a lack of research on whether current generative AI technologies can effectively replace traditional human managers in customer service automation, and whether they are advantageous in some situations and disadvantageous in others, depending on the conditions and environment. To answer the question, "Can generative AI replace human managers in customer service activities?", this study conducted experiments and surveys on customer online reviews of a food delivery platform. We applied the perspective of the elaboration likelihood model to generate hypotheses about whether there is a difference between positive and negative online reviews, and analyzed whether the hypotheses were supported. The analysis results indicate that for positive reviews, generative AI can effectively replace human managers. However, for negative reviews, complete replacement is challenging, and human managerial intervention is considered more desirable. The results of this study can provide valuable practical insights for organizations looking to automate customer service using generative AI.