• Journal of The Korean Association For Science Education
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• v.42 no.5
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• pp.557-566
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• 2022

This study analyzed paired middle school students' verbal and physical interactions in small group learning using augmented reality. Twelve 8th graders were paired to take classes of solubility and melting/boiling points based on augmented reality. These classes were videotaped and recorded. After the classes, all the students participated in a semi-structured interview. The results were analyzed in three sections; individual statement units of verbal interaction, interaction units of verbal interaction and physical interaction. In the individual statement units of verbal interaction, the proportion of information question/explanation was found to be high. In the interaction units of verbal interaction, the proportion of simple interaction was the highest, followed by elaborated interaction. Beneath the elaborate interaction, the proportion of cumulative interaction was found to be the highest, followed by reformative interaction. In the physical interaction, writing a worksheet and gazing at a virtual object were higher. On the basis of the results, effective ways to form a proper environment in small group learning using augmented reality are discussed.

• Journal of The Korean Association For Science Education
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• v.40 no.2
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• pp.191-201
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• 2020

This study investigated verbal and physical interactions which appeared in collaborative science concept learning using augmented reality. Twelve 10th grade students participated in this study. After being organized into three four-member small groups, they participated in classes using smart device-based augmented reality application developed for the understanding of the chemical bonding concept. Their class activities were audio- and video-taped. Semi-structured interviews were also conducted. The results revealed that within individual statement units of verbal interaction, the proportions of information question/explanation and direction question/explanation were found to be high. Within interaction units, the proportions of reformative and cumulative interaction were relatively high. The proportions of progress were also found to be high within both individual statement units and interaction units of verbal interaction. Students' physical interactions were mainly conducted without meaningful verbal interactions. When their physical interactions were accompanied by knowledge construction-related verbal interactions, the proportions of gazing virtual objects and worksheet-related interactions were high. In contrast, various exploratory activities related to the manipulation of markers mainly appeared when they conducted physical interactions only, or when their physical interactions were accompanied by management-related verbal interactions. On the bases of the results, effective methods for collaborative concept learning using augmented reality in science education are discussed.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.9
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• pp.419-428
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• 2017

In an embedded system, modules exchange data by interacting among themselves. Exchanging erroneous resource data among modules may lead to execution errors. The interacting resources produce dependencies between the two modules where any change of the resources by one module affects the functionality of another module. Several investigations of the embedded systems show that interaction faults between the modules are one of the major cause of critical software failure. Therefore, interaction testing is an essential phase for reducing the interaction faults and minimizing the risk. The direct and indirect interactions between the modules generate interaction faults. The direct interaction is the explicit call relation between the modules, and the indirect interaction is the remaining relation that is made underneath the interface that possesses data dependence relationship with resources. In this paper, we investigate the errors that are based on the indirect interaction between modules and introduce a new test criterion for identifying the errors that are undetectable by existing approaches at the integration level. We propose a novel approach for generating the interaction model using the indirect interaction pattern and design test criteria that are based on different interaction errors to generate test cases. Finally, we use the fault injection technique to evaluate the feasibility and effectiveness of our approach.

• Journal of KIISE:Computing Practices and Letters
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• v.10 no.4
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• pp.299-308
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• 2004

In this paper, we propose a probabilistic framework to predict the interaction probability of proteins. The notion of domain combination and domain combination pair is newly introduced and the prediction model in the framework takes domain combination pair as a basic unit of protein interactions to overcome the limitations of the conventional domain pair based prediction systems. The framework largely consists of prediction preparation and service stages. In the prediction preparation stage, two appearance probability matrices, which hold information on appearance frequencies of domain combination pairs in the interacting and non-interacting sets of protein pairs, are constructed. Based on the appearance probability matrix, a probability equation is devised. The equation maps a protein pair to a real number in the range of 0 to 1. Two distributions of interacting and non-interacting set of protein pairs are obtained using the equation. In the prediction service stage, the interaction probability of a Protein pair is predicted using the distributions and the equation. The validity of the prediction model is evaluated for the interacting set of protein pairs in Yeast organism and artificially generated non-interacting set of protein pairs. When 80% of the set of interacting protein pairs in DIP database are used as teaming set of interacting protein pairs, very high sensitivity(86%) and specificity(56%) are achieved within our framework.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.243-248
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• 2005

도메인 조합에 기반한 단백질 상호작용 예측 기법은 효모와 같은 특정 종에 대하여 우수한예측 정확도를 보이는 것으로 알려졌으나, 인간과 같은 고등 생명체의 단백질에 대한 상호작용 예측을 수행하기 위하여는 여러종에 대한 기법의 적절성검증과 최적의 학습집단 구성 방안에 대한 연구가 선행되어야 한다. 본 논문에서는, 초파리 단백질을 이용한 예측 정확도 검증으로 도메인 조합 기법의 일반화 가능성을 타진 하고 이종간의 상호작용 예측실험 및 정확도 검증을 통하여 비교적 연구가 덜 되어진 종의 단백질 상호작용 예측을 위한 학습집단 구성 방법에 대하여 기술한다. 초파리 실험에서는 10351개의 상호작용이 있는 단백질 쌍 가운데, 80%와 20%를 각각 학습집단 및 실험집단으로 사용하였으며, 상호작용이 없는단백질 쌍의 학습집단은 1배에서 5배까지 변화시키면서 예측 정확도를 관찰하였다. 이 결과77.58%의 민감도와 92.61%의 특이도를 확인하였다. 이종간의 상호작용 예측 실험은 효모, 초파리, 효모, 초파리에 해당하는 학습집단 각각을 바탕으로 Human, Mouse, E. coli, C. elegans 등의 단백질 상호작용 예측을 수행하였다. 실험 곁과 학습집단의 도메인이 실험집단의 도메인과 많이 겹칠수록 높은 정확도를 보여주었으며, 도메인 집단간의 유사도를 나타내기 위해 고안한 Domain Overlapping Rate(DOR) 는 상호작용 예측 정확도의 중요한 요소임을 찾아내었다.

• Journal of Korea Multimedia Society
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• v.12 no.9
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• pp.1351-1362
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• 2009

The importance of interoperability in modem warfare has been increasing ever since. Korean Ministry of National Defense has constructed and used the Systems Interoperability Test & Evaluation System in order to evaluate level of interoperability among defense information systems. However, as primary targets of SITES were information systems, there is limitation to be applied to weapon systems. This paper proposes an interoperability testing architecture and interoperability testing configuration items which encompass various aspects of interoperability testing. We developed a prototype which proved that the proposal can be realized and useful.

• Journal of KIISE:Software and Applications
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• v.36 no.11
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• pp.955-959
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• 2009

In this paper, we propose a novel method for analyzing human interactions based on the walking trajectories of human subjects. Our principal assumption is that an interaction episode is composed of meaningful smaller unit interactions, which we call 'sub-interactions.' The whole interactions are represented by an ordered concatenation or a network of sub-interaction models. From the experiments, we could confirm the effectiveness and robustness of the proposed method by analyzing the inner workings of an interaction network and comparing the performance with other previous approaches.

• Journal of the Korean Society for information Management
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• v.30 no.2
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• pp.83-99
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• 2013

The purpose of this study was to analyze ILL data in Gyeonggi province so that it could make a further analysis on current inter-regional network of book collection in ILL. In details, this study sought to analyze inter-regional network of ILL book collection among public libraries in Gyeonggi province to examine how a collection of books could be exchanged among those libraries, and analyze possible applications of task-based data in ILL. As a result, this study could verify that the further implementation of ILL across more detailed areas than current regions for the benefit of efficient ILL, if possible, would contribute to streamlining ILL practices.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.579-582
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• 2010

본 논문은 기존의 상호 작용 UCC 제작에서 한 단계 더 나아가 상호작용 UCC를 스마트폰에 적용하는 방법을 연구하는 논문입니다. 상호작용 UCC라 함은 기존의 일반 UCC에서 벗어나 사용자의 조작과 체험이 가능하도록 제작한 UCC를 말하는데 이러한 상호작용 UCC를 스마트폰에 적용해보려고 합니다. 최근 스마트폰은 전 세계인의 주목을 받고 있습니다. 기존 핸드폰의 전화기능에서부터 시작하여 음악, 동영상 재생 등 기능을 비롯하여 웹서핑, 지도 등 다양한 기능을 통해 우리들에게 편리함을 안겨주고 있습니다. 하지만 사용자들과 함께 상호작용을 고려한 상호작용 UCC와 스마트폰과 관련되어진 연구는 거의 존재하지 않습니다. 상호작용 UCC의 장점과 스마트폰의 기능을 융합한다면 훌륭한 효과를 낼 수 있다고 생각합니다. 본 연구팀에서 제작하려는 스마트폰 기반의 상호작용 UCC는 사용자들과 함께 의사소통 하고, 제공자 기반에서 존재하는 UCC의 결함을 해결하기 위해 실증적인 요소가 가미된 새로운 형태의 UCC입니다. 이를 통해 제작자가 자신이 전달하고자 하는 바를 보다 더 효과적으로 전달할 수 있도록 하는 방법을 제시하려 합니다.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.560-567
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• 2007

컴퓨터 에이전트가 우리의 일상에 미치는 영향력이 커지고 에이전트와의 상호작용이 대인 상호작용과 유사하게 변화할수록, 업무적 효율성보다 에이전트와의 상호작용에서 사용자가 겪게 되는 심리적 사회적 경험이 중요해진다. 사용자의 긍정적인 심리적 경험을 유도하기 위해 에이전트와 사용자의 상호작용에서 사회적 실재감(social presence)을 증진시키고자 하는 연구가 이루어져 왔다. 이러한 연구들에서는 에이전트의 언어적/비언어적 커뮤니케이션에 대인적 요소를 적용함으로써 사회적 실재감을 증진시키고자 하였다. 본 연구에서는 대인관계에서 매우 중요한 커뮤니케이션 요소인 상호적 자기노출(self-disclosure)이 사용자들의 사회적 실재감 인식과 에이전트 평가, 사용자 경험에 있어 어떠한 효과를 갖는지 살펴보고, 또한 개인의 성격변인인 애착유형(attachment styles)은 어떠한 영향을 미치는지 살펴보았다. 또한 사회적 실재감이 에이전트 평가와 사용자 경험에 대한 효과를 매개하는지 알아보았다. 실험 결과 에이전트와의 상호적 자기노출 교환은 사회적 실재감을 증진시키고 에이전트에 대한 호의적 평가와 긍정적인 사용자 경험을 유도하였으며, 향후 상호작용 의사를 증진시켰다. 또한 피험자의 애착유형에 따라 사회적 실재감, 에이전트 평가, 사용자 경험, 향후 상호작용 의사가 다르게 나타났다. 종속변인에 대한 자기노출 교환과 애착유형의 효과는 지각된 사회적 실재감에 의해 매개되는 것으로 나타났다. 본 연구의 결과는 에이전트 설계에 커뮤니케이션적 측면이 중요하게 고려되어야 함을 시사한다. 또한 에이전트가 사용자들에게 미치는 심리적 효과는 사용자의 성격 특성에 따라 다르게 나타날 수 있다는 것을 시사한다.