• Design Convergence Study
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• v.16 no.5
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• pp.203-217
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• 2017

This study proposes and demonstrates the value of user - centered design methodology based on linguistic analysis. The results of the proposed user behavioural analysis framework suggested that the syntactic structure between the sentence structure and its components could be a logical basis for explaining the user's situation and behavior. Based on this, the definitions and classifications of user interactions and user contexts were conducted in a microscopically context. User behavior has also been established to identify pattern structures of purposeful nature and constitutes a user behavior sequence that prioritizes them. Next, the User Experience Analysis Framework was derived by defining the relationship between User Behavior and User Behavior and User Context and User Context. To verify the framework of the framework, a professional assessment was conducted to conduct a review of the user's experience and conduct a study of the framework of the framework and conduct of the framework of the framework of the framework and practical utility of the framework. Through this, it was possible to identify the value of the qualitative and quantitative framework of the framework and the future direction of development.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.253-255
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• 2003

We address an integrated multimedia framework based on a software agent platform for context-aware multimedia computing. We adopt the FIPA (Foundation for Intelligent Physical Agents) platform which provides agent communications and management mechanisms. In order to express context information, we use MPEG-21 metadata for describing user characteristics and usage environment. We encapsulate such context information as a FIPA message to be delivered between agents. Based on context information, appropriate multimedia content delivery becomes possible. We present our system implementation with a use case scenario and show that our proposed framework is effective for context-aware multimedia computing so that personalization of multimedia consumption can be possible.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.109-114
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• 2008

In this paper, we propose CAMAR Core Platform as a framework for context-aware mobile augmented reality system development after brief introduction of limitations in the previous mobile augmented reality (AR). There have been many research activities on mobile AR due to recent enhancement of functionalities of mobile devices and development of relevant technologies to mobile augmented reality. In order to be used in ubiquitous computing environment, however, mobile AR systems should be able to utilize available contextual information, augment personalized contents, and share the augmented contents with other users. Thus, the proposed CAMAR Core Platform can provide such functionalities to those who want to develop CAMAR systems. To show the feasibility of the proposed framework, we show several applications based on the framework.

• Journal of the Korea Society of Computer and Information
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• v.11 no.6 s.44
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• pp.201-210
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• 2006

This study proposed a framework to clarify a viewpoint of quality problems, and to consider reliance, of context information in ubiquitous computing environments. The framework is structured as a sequence of steps in measuring the quality of context information. The first step in measuring the qualify of context information is to determine users of the context information. This is important because the type of users or applications determines the type of context information and thus the methods of measuring the qualify dimensions and the thresholds for evaluating the quality of context information. The other steps include methods for measuring each quality dimensions to allow quantitative evaluation of quality, establishing acceptable quality targets. We selected accuracy, completeness, up-to-dateness, access security, and representation as quality dimensions and proposed their measurement methods and concrete procedures. We enabled objective evaluation of quality level through proposal of methods suitable to quality measurement of context information.

• The KIPS Transactions:PartB
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• v.17B no.6
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• pp.405-412
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• 2010

Previous background generation techniques showed bad performance in complex environments since they used only temporal contexts. To overcome this problem, in this paper, we propose a new background generation method which incorporates spatial as well as temporal contexts of the image. This enabled us to obtain 'clean' background image with no moving objects. In our proposed method, first we divided the sampled frame into m*n blocks in the video sequence and classified each block as either static or non-static. For blocks which are classified as non-static, we used MRF framework to model them in temporal and spatial contexts. MRF framework provides a convenient and consistent way of modeling context-dependent entities such as image pixels and correlated features. Experimental results show that our proposed method is more efficient than the traditional one.

• Journal of the Korean Operations Research and Management Science Society
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• v.33 no.4
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• pp.31-51
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• 2008

Predicting the preferences of users and providing the personalized services/products based on users' preferences is one of the important issues. However, the research considering users' preferences on context-aware computing is a relatively insufficient research field. Hence, this paper aims to propose a framework for providing the personalized services based on context history in context-aware computing. Based on this framework, we have implemented a prototype system to show the feasibility of the framework. Previous researches have reasoned the preferences of the user considering only the user's input, but this research provides the personalized services using the relationship between users' profile and services.

• The KIPS Transactions:PartD
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• v.14D no.1 s.111
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• pp.139-144
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• 2007

In seeking to improve the workload efficiency and inference capability of context-aware systems, we propose a new framework for an advanced teaming mechanism that uses improved bath propagation (BP) algorithm. Even though a learning mechanism is one of the most important parts in a context-aware system, the existing algorithms focused on facilitating systems by elaborating the learning mechanism with user's context information are rare. BP is the most adaptable algorithm for learning mechanism of context-aware systems. By using the improved BP algorithm, the framework we proposed drastically improves the inference capability so that the overall performance is far better than other systems. Also, using the special system cache, the framework manages the workload efficiently. Experiments show that there is an obvious improvement in overall performanre of the context-awareness systems using the proposed framework.

• IEMEK Journal of Embedded Systems and Applications
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• v.10 no.3
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• pp.129-137
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• 2015

Various personalized services are provided based on user context these days, and IoT(Internet of Things) devices provides effective ways to collect user context. For example, user's activity such as walking steps, calories, and sleeping hours can be collected using smart activity tracker. Smart scale can sense change of user's weight or body fat percentage. However, these services are independent to each other and not easy to make them collaborate. Many standard bodies are working on the documents for this issue, but due to diversity of IoT use case scenarios, it seems that multiple IoT technologies co-exist for the time being. This paper propose a framework to collaborate heterogeneous IoT services. The proposed framework provides methods to build application for heterogeneous IoT devices and user context management in more intuitive way using HTTP. To improve compatibility and usability, gathered user contexts are based on MPEG-UD. Implementation of framework and service with real-world devices are also presented.

• Archives of design research
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• v.18 no.2 s.60
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• pp.273-282
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• 2005

In this study, we proposed Context Cube as a conceptual model of user context, and a Multi-modal Interaction Design framework to develop ubiquitous service through understanding user context and analyzing correlation between context awareness and multi-modality, which are to help infer the meaning of context and offer services to meet user needs. And we developed a case study to verify Context Cube's validity and proposed interaction design framework to derive personalized ubiquitous service. We could understand context awareness as information properties which consists of basic activity, location of a user and devices(environment), time, and daily schedule of a user. And it enables us to construct three-dimensional conceptual model, Context Cube. Also, we developed ubiquitous interaction design process which encloses multi-modal interaction design by studying the features of user interaction presented on Context Cube.

• The KIPS Transactions:PartC
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• v.14C no.3 s.113
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• pp.293-304
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• 2007

In this paper, a client-side framework for processing of the profile that is necessary for providing adapted content to user's context in the client is designed and implemented. The profile must be constituted context information and various user's information for providing the adapted content to user's context. The client device also provides functionalities such as the creation, the management, and the transmission of the profile. The profile which is used in the proposed profile framework consists of various related information of a user for content adaptation. The technology such as creation, transmission and manage of the profile for effective processing is proposed and apply this technologies to client profile framework during the design are applied. As the result of evaluation, techniques of the proposed framework for processing profiles is more effective than previous techniques.