• Title/Summary/Keyword: User's Context

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Interface for in-situ Authoring of Augmented Reality Contents on a Mobile Device Environment (모바일 환경 증강현실 콘텐츠 현장 저작 인터페이스)

  • Lee, Jeong-Gyu;Lee, Jong-Weon
    • The Journal of the Korea Contents Association
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    • v.10 no.7
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    • pp.1-9
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    • 2010
  • This paper introduces a difference between mobile Augmented Reality (AR) authoring and desktop AR authoring, and suggests an interface system that can be applied to in-situ authoring of AR contents on a mobile device. The mobile devices have enabled users to use the AR system anytime and anywhere. It is now necessary to create user's individualized context information using mobile devices on the spot. To author AR contents easily with mobile devices, we need to maximize the convenience of mobile systems, which have yet limitation. To do so, this paper suggests new interaction approaches that manage augmented contents using visual cues and other simple attribute settings. In addition, to solve the problem that users have to hold their mobile devices to track markers while authoring contents, this system enables users to author contents in environment based on captured images. This interface system also can make cooperation environment for more than one users to author contents. This paper verifies the usefulness of the proposed interface by user tests. The results of an analyzing users' comments show that the proposed interface is suitable for in-situ mobile authoring system.

Algorithm for Functional and Declarative Language in Parallel Machine (Parallel Machine에 있어서의 Functional, Declarative 언어의 Algorithm)

  • Kim, Jin-Su
    • The Journal of Natural Sciences
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    • v.5 no.2
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    • pp.39-43
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    • 1992
  • Detection of parallelism by a compiler is very desirable from a user's point of view. However, even the most sophisticated techniques to detect parallelism trip on trivial impediments, such as conditionals, function calls, and input/output statements, fail to detect most of the parallelism present in a program. Some parallelizing compilers provide feedback to the user when they have difficulty in deciding about parallel execution. Under these circumstances, a programmer has to restructure the source code to aid the detection of parallelism. But, functional and declarative languages can be said to offer many advantages in this context. Functional programs are easier to reason about because their output is determinate, that is, independent of the order of evaluation. However, functional languages traditionally have lacked good facilities for manipulating arrays and matrices. In this paper, a declarative language called Id has been proposed as a solution to some of these problems.

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An Exercise to Explore Avatar Customization and Gender Swapping (게임 유저의 아바타 성별 선택의 측도(測度)에 관한 연구)

  • Scheck, Katherine;Lee, Dong Yeop;Kyung, Byung Pyo;Ryu, Seuc Ho;Lee, Dong Lyeor;Lee, Wan Bok
    • Journal of Korea Game Society
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    • v.15 no.2
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    • pp.63-72
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    • 2015
  • Avatars are a visual representation of users in a virtual world such as an MMORPG. These avatars are often seen as representations or idealizations of the user's actual self. However, this view does not account for the prevalence of two behaviors: multiple avatars and 'gender swapping'. An exercise and questionnaire were created to study avatar customization practices across players outside the context of any particular game to understand better user motivations in creating their virtual selves. A preliminary trial of the exercise showed little correlation between age or gender and gender swapping. While those of non-traditional sexuality were more likely to gender swap, half of traditional sexuality also swapped. Finally, the personality trait, Openness to Experience, showed promising correlation with gender swapping.

Personalized Recommendation based on Context-Aware for Resource Sharing in Ubiquitous Environments (유비쿼터스 환경에서 자원 공유를 위한 상황인지 기반 개인화 추천)

  • Park, Jong-Hyun;Kang, Ji-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.9
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    • pp.19-26
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    • 2011
  • Users want to receive customized service using users' personal device. To fulfill this requirement, the mobile device has to support a lot of functions. However, the mobile device has limitations such as tiny display screens. To solve this limitation problem and provide customized service to users, this paper proposes the environment to provide services by sharing resources and the method to recommend user-suitable resources among sharable resources. For the resource recommendation, This paper analyzes user's behavior pattern from usage history and proposes the method for recommending customized resources. This paper also shows that the approach is reasonable one for resource recommendation through the satisfaction evaluation.

Schemes for Managing Semantic Web Data in Ubiquitous Environment (유비쿼터스 환경을 고려한 시맨틱 웹 데이터 관리 기법 연구)

  • Kim, Youn-Hee;Kim, Jee-Hyun
    • Journal of Digital Contents Society
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    • v.10 no.1
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    • pp.1-10
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    • 2009
  • One important issue to generalize the ubiquitous paradigm is the development of user-centralized and intelligent ubiquitous computing systems. Sharing knowledge and correct communication between users and devices are needed to be aware of continuous changed context information and infer services for which users are suited. The goal of this paper is to describe and manage effectively the meaning of services or data which each device offers for interaction between users and devices based on semantic relationships and reasoning. In this paper, we represent semantic data using OWL and design a ubiquitous based intelligent system. We propose some index structures and strategies to process queries classified by each subsystem and adopt labeling schemes to identify classes and resources in the semantic data. We can find devices which satisfies various user's requests exactly and quickly using the proposed strategies.

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A Method on Retrieving Personalized Information Based on Mutual Trust in Real and Online World (현실과 가상 세계에서 상호 신뢰도에 기반한 개인화 정보의 식별 방법)

  • Kim, Myeonghun;Kim, Sangwook
    • KIPS Transactions on Software and Data Engineering
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    • v.6 no.5
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    • pp.257-266
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    • 2017
  • Two remarkable problems of recent online social network are information overflow and information overload. Since the mid-1990s, many researches to overcome these issues have been conducted with information recommender systems and context awareness based personalization techniques, the importance of trust or relationship between users to discover influential information has been increasing as recent online social networks become huge. But almost researches have not regarded trust or relationship in real world while reflecting them in online world. In this paper, we present a novel method how to discover influential and spreadable information that is highly personalized to a user. This valuable information is extracted from an information set that consists of lots of information user missed in the past, and we assumes important information is likely to exist in this set.

Case Study on the Implementation of Facility AI Platform for Small and Medium Enterprises of Korean Root Industry (뿌리업종 중견중소기업의 설비 AI 플랫폼 구축에 관한 사례연구)

  • Lee, Byong Koo;Moon, Tae Soo
    • The Journal of Information Systems
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    • v.32 no.3
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    • pp.205-224
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    • 2023
  • Purpose This study investigates the impact of organizational characteristics on organizational performance through case studies of smart factory implementation in the context of Korean small and medium Enterprises (SMEs). To achieve this goal, this study adopts the smart factory index of KOSMO (Korea Smart Manufacturing Office) established by Korean Ministry of SMEs and Startups. We visited 3 firms implemented smart factory projects. This study presents the results of field study in detail with evaluation criteria on how organizational competences like AI technology adoption and facility automation can be exploited to positively influence organizational performance through smart factory implementation. Design/methodology/approach There are not so many results of empirical studies related to smart factories in Korea. This is because organizational support and user involvement are required for facility AI platform service beyond factory automation after the start of the 4th Industrial Revolution. Korean government's KOSMO (Korean Smart Manufacturing Office) has developed and proposed a level measurement index for smart factory implementation. This study conducts case studies based on the level measurement method proposed by KOSMO in the process of conducting case studies of three companies belonging to the root and mechanic industries in Korea. Findings The findings indicate that organizational competences, such as facility AI platform adoption and user involvement, are antecedents to influence smart factory implementation, while smart factory implementation has significant relationship with organizational performance. This study provides a better understanding of the connection between organizational competences and organizational performance through smart factory case studies. This study suggests that SMEs should focus on enhancing their organizational competences for improving organizational performance through implementing smart factory projects.

iSafe Chatbot: Natural Language Processing and Large Language Model Driven Construction Safety Learning through OSHA Rules and Video Content Delivery

  • Syed Farhan Alam ZAIDI;Muhammad Sibtain ABBAS;Rahat HUSSAIN;Aqsa SABIR;Nasrullah KHAN;Jaehun YANG;Chansik PARK
    • International conference on construction engineering and project management
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    • 2024.07a
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    • pp.1238-1245
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    • 2024
  • The construction industry faces the challenge of providing effective, engaging, and rule-specific safety learning. Traditional methodologies exhibit limited adaptability to technological advancement and struggle to deliver optimal learning experiences. Recently, there has been widespread adoption of information retrieval and ontology-based chatbots, as well as content delivery methods, for safety learning and education. However, existing information and content retrieval methods often struggle with accessing and presenting relevant safety learning materials efficiently. Additionally, the rigid and complex structures of ontology-based approaches pose obstacles in accommodating dynamic content and scaling for large datasets. They require more computational resources for ontology management. To address these limitations, this paper introduces iSafe Chatbot, a novel framework for construction safety learning. Leveraging Natural Language Processing (NLP) and Large Language Model (LLM), iSafe Chatbot aids safety learning by dynamically retrieving and interpreting relevant Occupational Safety and Health Administration (OSHA) rules from the comprehensive safety regulation database. When a user submits a query, iSafe Chatbot identifies relevant regulations and employs LLM techniques to provide clear explanations with practical examples. Furthermore, based on the user's query and context, iSafe Chatbot recommends training video content from video database, enhancing comprehension and engagement. Through advanced NLP, LLM, and video content delivery, iSafe Chatbot promises to revolutionize safety learning in construction, providing an effective, engaging, and rule-specific experience. Preliminary tests have demonstrated the potential of the iSafe Chatbot. This framework addresses challenges in accessing safety materials and aims to enhance knowledge and adherence to safety protocols within the industry.

The Analysis of Image by Cognitive Map of residents in apartment housing (집합주거단지 거주자의 인지도에 따른 이미지 분석)

  • 최지희
    • Journal of the Korean Home Economics Association
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    • v.29 no.4
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    • pp.45-64
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    • 1991
  • Each of us has personal and unique "Mental Images" of environment that are the results of a two-way process between an observer and his environment. By understanding of people's image on their physical settings through cognitive maps, congruent with their design environment. In this context, this study is to fine out the characteristics of the resident's image in apartment housing that are modern housing. This paper is theoretically based on Appleyard's cognitive maps types, Lynch's the components of image, Harrison and Howard's image enhancing factors and Applyard's image enhancing factors of buildings. For the purpose of this study, two-instruments were used. One was sketch mapping, that told of visual aspects of cognitive map. Another was verbal questionnaire, which was composed of nonvisual aspects of image components and image enhancing factors. For the methods of research analysis, Percentage, Frequency, and Chi-square test were used. The results of this study are as follows. Firstly, as for the types of cognitive maps, the rate of sequential maps and spatial maps are nearly same. Secondly, as for the components of images, landmarks and districts are significant elements in apartment housing, and edges, nodes and paths are rare element. Thirdly, with regard to image enhancing factors, landscaping is shown to be most effective at landmarks and districts. And finally, in examing the differences of images between various social groups, significant variables are years of living and housing size. Age and income are the next. In this study of image, we can learn about manner in which individuals come to see, understand, and cope with the environment at a personal level. So, user-oriented approach is useful in environmental design, and particularly, it is useful in the apartment housing of the future life space.

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A Study of Mobile and Internet Banking Service: Applying for IS Success Model

  • Koo, Chulmo;Wati, Yulia;Chung, Namho
    • Asia pacific journal of information systems
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    • v.23 no.1
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    • pp.65-86
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    • 2013
  • Understanding success factors in electronic banking is important to helping banks succeed. In this study, we extend DeLone and McLean's IS success model to the electronic banking by adding trust as a success variable. We tested the extended model by comparing internet banking and mobile banking in Indonesia. Using a structural equation modelling approach. We found that system quality had positive impacts on perceived usefulness and end-user satisfaction for both internet banking and mobile banking. The development of e-banking (internet banking and mobile banking) in Indonesia is in its initial stage. Finally, although we tested for the common method bias to relieve concern, further research may use multiple methods when collecting the data. This study investigated the role of each dimension of IS success in the electronic banking environment. While the original IS success model emphasizes individual and organizational impacts, we have argued that trust is an important indicator of IS impact on an individual socially in the banking industry. The contribution of our study is two-fold. Conceptually, the study is the first to extend the IS success model to the e-banking context. We provide an extension of the updated IS success model by adding trust as an outcome variable in the research model.

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