• Title/Summary/Keyword: user activity

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A Collaborative Visual Language

  • Kim, Kyung-Deok
    • Journal of information and communication convergence engineering
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    • v.1 no.2
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    • pp.74-81
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    • 2003
  • There are many researches on visual languages, but the most of them are difficult to support various collaborative interactions on a distributed multimedia environment. So, this paper suggests a collaborative visual language for interaction between multi-users. The visual language can describe a conceptual model for collaborative interactions between multi-users. Using the visual language, generated visual sentences consist of object icons and interaction operators. An object icon represents a user who is responsible for a collaborative activity, has dynamic attributes of a user, and supports flexible interaction between multi-users. An interaction operator represents an interactive relation between multi-users and supports various collaborative interactions. Merits of the visual language are as follows: supporting of both asynchronous interaction and synchronous interaction, supporting flexible interaction between multi-users according to participation or leave of users, supporting a user oriented modeling, etc. For example, an application to a workflow system for document approval is illustrated. So we could be found that the visual language shows a collaborative interaction.

Glanceable and Informative WearOS User Interface for Kids and Parents

  • Kim, Siyeon;Yoon, Hyoseok
    • Journal of Multimedia Information System
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    • v.8 no.1
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    • pp.17-22
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    • 2021
  • This paper proposes a wearable user interface intended for kids and parents using WearOS smartwatches. We first review what constitutes a kids smartwatch and then design UI components for watchfaces to be used by kids and parents. Different UI components ranging from activity, education, voice search, app usage, video, location, health, and quick dial are described. These components are either implemented as complications or on watchfaces and may require on-device standalone function, cross-device communication, and external database. We introduce a theme-based amusing UI for kids whereas simple and easily accessible components are recommended to parents' watchface. To illustrate use cases, we present 3 scenarios for enhancing communication between parents and child. To show feasibility and potential of our approach, we implement our proof-of-concept using commercial smartwatches, smartphones, and external cloud database. Furthermore, performance of checking app usages on different devices are presented, followed by discussion on limitations and future work.

The structural relationships among user citizenship behavior, aberrant user behavior, social connectedness, privacy concern, and user satisfaction (SNS 이용자 시민행동, 불량행동, 사회적 유대감, 프라이버시 침해 우려 및 이용자 만족도간의 구조적 관계)

  • Kim, Yoo-Jung;Kim, Jae-Young;Han, Jae-Min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.11
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    • pp.4994-5004
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    • 2012
  • This paper aims at investigating voluntary user participation such as user citizenship behavior and aberrant user behavior in the SNS context. Also it examines on how user participation behavior affects social connectedness, privacy concern, and user satisfaction. The empirical assessment of the research model was conducted using a total of 143 responses. The findings show that user citizenship behavior impacts on social connectedness positively and significantly whereas aberrant user behavior does not influence on social connectedness. Aberrant user behavior is proven not to be related to social connectedness, and to has positive relationship with concern for privacy invasion. Also, the results show that privacy concern is not associated with social connectedness. Finally, social connectedness is shown to be a key determinant of SNS user satisfaction whereas privacy concern is not related to user satisfaction.

Development of Image Classification Model for Urban Park User Activity Using Deep Learning of Social Media Photo Posts (소셜미디어 사진 게시물의 딥러닝을 활용한 도시공원 이용자 활동 이미지 분류모델 개발)

  • Lee, Ju-Kyung;Son, Yong-Hoon
    • Journal of the Korean Institute of Landscape Architecture
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    • v.50 no.6
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    • pp.42-57
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    • 2022
  • This study aims to create a basic model for classifying the activity photos that urban park users shared on social media using Deep Learning through Artificial Intelligence. Regarding the social media data, photos related to urban parks were collected through a Naver search, were collected, and used for the classification model. Based on the indicators of Naturalness, Potential Attraction, and Activity, which can be used to evaluate the characteristics of urban parks, 21 classification categories were created. Urban park photos shared on Naver were collected by category, and annotated datasets were created. A custom CNN model and a transfer learning model utilizing a CNN pre-trained on the collected photo datasets were designed and subsequently analyzed. As a result of the study, the Xception transfer learning model, which demonstrated the best performance, was selected as the urban park user activity image classification model and evaluated through several evaluation indicators. This study is meaningful in that it has built AI as an index that can evaluate the characteristics of urban parks by using user-shared photos on social media. The classification model using Deep Learning mitigates the limitations of manual classification, and it can efficiently classify large amounts of urban park photos. So, it can be said to be a useful method that can be used for the monitoring and management of city parks in the future.

Active training machine with muscle activity sensor for elderly people

  • Matsuda, Goichi;Tanaka, Motohiro;Yoon, Sung-Jae;Ishimatsu, Takakazu;Kim, Seok-Hwan;Moromugi, Shunji
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1169-1172
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    • 2005
  • For elderly people, an advanced training machine that uses actuator and can adjust load according to muscle activity is proposed. The proposed machine allows users to have a safe and effective training through exercise close to ordinal motion appears in daily life such as stretching or stooping motion. A muscle activity sensor real-timely monitors the activation level of user's muscle during the exercise and the training load is adjusted based on the measured data. The training load is exerted and continuously controlled by electric/pneumatic actuator.

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A Study on the Activity System Methods of Site Planning and Design (공동주택의 개발에 있어 활동체계에 의한 공간/시설물 계획.설계에 관한 연구)

  • 정하광
    • Journal of the Korean Institute of Landscape Architecture
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    • v.21 no.4
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    • pp.43-53
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    • 1994
  • This Study is to construct the Activity System Methods of Site Planning and Design. A planned spaces and facilities is considered usually in relation to users of space and facilities, user attributes, needs and values, and activity patterns. Information obtained form this study adds a qualitative dimension to the quantitative emphasis and supplies information for design-oriented analyses of site planning. In the design-oriented aspect, the concern is with devising desirable land use arrangements and facility supply considering objectives defined in the public interest. The design-oriented approache in site planning and design must use information on activity systems and space qualities in defining planning and design requirements of site development-one in the form of principles and standards of design used in land use and facility planning guidelines, and the other form of input variables for land use model and facility supply model.

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Investigation of Twitter Users' Activity Radius and Home Region in the City: The Case of Las Vegas (트위터 사용자의 도시 내 활동반경과 거주지역의 탐색: 라스베이거스 사례)

  • Cho, Jaehee;Seo, Il-Jung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.42 no.2
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    • pp.505-513
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    • 2017
  • In this study, we collected 200,578,703 geo-tweets and removed the twitter bots. Using the concept of activity radius, Twitter users are classified. Users are also divided first into domestic and overseas, and again domestic ones are divided into locals and non-locals. Statistical characteristics of activity strength and active area of Twitter users are described according to activity radius and home region, and the geographical distribution is presented visually. Through a case study of Las Vegas, we have identified the difference in activity strength and active area by the user's home residence. We expect to derive theories about human mobility by analyzing various cities with the method proposed in this study.

Activity Data Modeling and Visualization Method for Human Life Activity Recognition (인간의 일상동작 인식을 위한 동작 데이터 모델링과 가시화 기법)

  • Choi, Jung-In;Yong, Hwan-Seung
    • Journal of Korea Multimedia Society
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    • v.15 no.8
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    • pp.1059-1066
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    • 2012
  • With the development of Smartphone, Smartphone contains diverse functions including many sensors that can describe users' state. So there has been increased studies rapidly about activity recognition and life pattern recognition with Smartphone sensors. This research suggest modeling of the activity data to classify extracted data in existing activity recognition study. Activity data is divided into two parts: Physical activity and Logical Activity. In this paper, activity data modeling is theoretical analysis. We classified the basic activity(walking, standing, sitting, lying) as physical activity and the other activities including object, target and place as logical activity. After that we suggested a method of visualizing modeling data for users. Our approach will contribute to generalize human's life by modeling activity data. Also it can contribute to visualize user's activity data for existing activity recognition study.

Estimation of User Activity States for Context-Aware Computing in Mobile Devices (모바일 디바이스에서 상황인식 컴퓨팅을 위한 사용자 활동 상태 추정)

  • Baek Jonghun;Yun Byoung-Ju
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.43 no.1 s.307
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    • pp.67-74
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    • 2006
  • Contort-aware computing technology is one of the key technology of ubiquitous computing in the mobile device environment. Context recognition computing enables computer applications that automatically respond to user's everyday activity to be realized. In this paper, We use accelerometer could sense activity states of the object and apply to mobile devices. This method for estimating human motion states utilizes various statistics of accelerometer data, such as mean, standard variation, and skewness, as features for classification, and is expected to be more effective than other existing methods that rely on only a few simple statistics. Classification algorithm uses simple decision tree instead of existing neural network by considering mobile devices with limited resources. A series of experiments for testing the effectiveness of the our context detection system for mobile applications and ubiquitous computing has been performed, and its result is presented.

A Study on the Development of a Quantified Module for the Evaluation of industrial Design Proposals (산업디자인 제품화 개발을 위한 정략적모듈의 개발)

  • 우흥룡;신학수;고을한;한석우;홍석기;김창현
    • Archives of design research
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    • v.9
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    • pp.801-810
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    • 1994
  • Design Problems are often both multidimensional and highly interactive. Very rarely does any part of a designed thing serve only one purpose. The activity of designing is thus a goal-directed activity and normally a goal-directed problem-solving activity. This means, problem solving is finding a way to get from some initial situation to a desired goal. Designers are transforming agents within a society whose goals are to improve the human condition through physical metamorphosis. Many theorist have agreed that designing involves problem solving or decision making. Accordingly evaluation plays an essential role in design activity. The evaluation factors include all attributes that have levels specified by quantitative and qualitative objectives Alternatives in multi-objective decision prOblems generally possess numerous attributes by which they can be described and compared. The evaluation factors include all attributes that have levels specified by quantitative and qualitative objectives. However since qualitative factors are difficult to quantify as numeral estimates, these factors have tended to be ignored without regard for their importance to human content. We adapted the Accumulative Evaluation Model as an evaluation algorithm for IDES. Industrial Design Evaluation System (IDES) consists of 3 major modules ( 1 Design Element, 2.Matrix, 3.Evaluation). It is intended to be an aid for design evaluation. The luther thinks IDES is a new design evaluation approach which could provide effective rating of design values to make value judgements. It is an attempt to provide industrial designers with access to design evaluation. The author's aim is to produce an Object-Oriented Evaluation System which can guide the designers and decision makers under complex design projects. It uses\ulcorner an Object-Oriented Programming for this prototype, Because of managing complexity (Flexibility and Reusability) and improving productivity(Extensibility & Maintainability and Programming by User) in software development process. The author has chose the C++ because it is a hybrid, rather than pure Object-Oriented Language.

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