• Title/Summary/Keyword: Human-Computer Interaction Analysis

Search Result 133, Processing Time 0.018 seconds

A Study on New Appreciation of Cultural Industry and the Role of Design Policies (문화산업에 대한 재인식과 디자인 정책의 역할 연구)

  • Jeong, Bong-Keum
    • Archives of design research
    • /
    • v.19 no.5 s.67
    • /
    • pp.31-42
    • /
    • 2006
  • Design, to all of us living in the 21st century, is not just an action that revs up the production and consumption as an added value of an industry, but it is recognized as a broader social and cultural action in practice. The purpose of this study is to broaden the role of design as a principal body producing culture, and to proclaim that design itself has to have self-sufficiency as culture. The study starts from a hypothesis that the action of design should be at the core of cultural industry. The study includes studying the documents on and analyzing the current status and case studies of cultural industry and design policies for macro view. Comparative research and analysis of how designers from three countries, Korea, United States and England, perceive policies is a microscopic part of this study. The methods for this study include survey for quantitative research in Korea, United States and England, and intensive interviews for qualitative research to explain past facts and the current situation of design policies. The survey compares design professionals of three countries, and the intensive interviews are done with manager level design professionals who are both decision makers and policy makers. On order to prove the appropriateness of the survey structure, three pilot studies and a pre-test were carried out. As shown in the verification of the subject of study, if, in the cultural industry which was considered to be the blossom of 20th century, the blind running without intervention of reason still keeps its former state and is unable to go beyond history, we will not be able to enter the age of mentality and fall behind. The value of design that we shall judge depends on the dialectic of 'past' and 'present' regarding the principle of enlightenment, and it will open up a new philosophy, a new civilization and a new world.

  • PDF

Software development project management using Agile methodology (Agile 방법론을 이용한 소프트웨어 개발 프로젝트관리)

  • kim, tai-dal
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.16 no.1
    • /
    • pp.155-162
    • /
    • 2016
  • In recent years, hoping the interaction of individuals and rather than software development process and tools, and customers want software that works first, rather than a comprehensive document, in cooperation with the customer, rather than the developer negotiate a contract, to each other stick to the plan I think even more so than the value that corresponds to the change. In view of this, software development is given the autonomy and motivation to project team rather than process-oriented and have a passion and vision and human relations oriented management approach is required. In recent years, increasing the productivity benefits of agile development processes, improved quality, efficiency and customer satisfaction as is demonstrated in the methodology selected to promote the project, attention was given to the experts. Contemporary demands with regard to the methodology chosen to meet your needs, in this paper in the organization, and to solve the problems of product-based Cross functional team proposed methodology Feature Team model, this model is an organizational Cross functional team and the team is not the outcome (product) basis, were examined for the model that points to progress the development across multiple product as a functional unit, value-plan through the driven agile technique-based model and proposed a difference. And the domain analysis, required extraction by conventional JAD (joint application development) meeting the targets for the object-oriented modeling, in modeling and organize, review, aware in advance and the UML Structure and Behavior Diagrams and proposed to proceed with the project.

Learning Material Bookmarking Service based on Collective Intelligence (집단지성 기반 학습자료 북마킹 서비스 시스템)

  • Jang, Jincheul;Jung, Sukhwan;Lee, Seulki;Jung, Chihoon;Yoon, Wan Chul;Yi, Mun Yong
    • Journal of Intelligence and Information Systems
    • /
    • v.20 no.2
    • /
    • pp.179-192
    • /
    • 2014
  • Keeping in line with the recent changes in the information technology environment, the online learning environment that supports multiple users' participation such as MOOC (Massive Open Online Courses) has become important. One of the largest professional associations in Information Technology, IEEE Computer Society, announced that "Supporting New Learning Styles" is a crucial trend in 2014. Popular MOOC services, CourseRa and edX, have continued to build active learning environment with a large number of lectures accessible anywhere using smart devices, and have been used by an increasing number of users. In addition, collaborative web services (e.g., blogs and Wikipedia) also support the creation of various user-uploaded learning materials, resulting in a vast amount of new lectures and learning materials being created every day in the online space. However, it is difficult for an online educational system to keep a learner' motivation as learning occurs remotely, with limited capability to share knowledge among the learners. Thus, it is essential to understand which materials are needed for each learner and how to motivate learners to actively participate in online learning system. To overcome these issues, leveraging the constructivism theory and collective intelligence, we have developed a social bookmarking system called WeStudy, which supports learning material sharing among the users and provides personalized learning material recommendations. Constructivism theory argues that knowledge is being constructed while learners interact with the world. Collective intelligence can be separated into two types: (1) collaborative collective intelligence, which can be built on the basis of direct collaboration among the participants (e.g., Wikipedia), and (2) integrative collective intelligence, which produces new forms of knowledge by combining independent and distributed information through highly advanced technologies and algorithms (e.g., Google PageRank, Recommender systems). Recommender system, one of the examples of integrative collective intelligence, is to utilize online activities of the users and recommend what users may be interested in. Our system included both collaborative collective intelligence functions and integrative collective intelligence functions. We analyzed well-known Web services based on collective intelligence such as Wikipedia, Slideshare, and Videolectures to identify main design factors that support collective intelligence. Based on this analysis, in addition to sharing online resources through social bookmarking, we selected three essential functions for our system: 1) multimodal visualization of learning materials through two forms (e.g., list and graph), 2) personalized recommendation of learning materials, and 3) explicit designation of learners of their interest. After developing web-based WeStudy system, we conducted usability testing through the heuristic evaluation method that included seven heuristic indices: features and functionality, cognitive page, navigation, search and filtering, control and feedback, forms, context and text. We recruited 10 experts who majored in Human Computer Interaction and worked in the same field, and requested both quantitative and qualitative evaluation of the system. The evaluation results show that, relative to the other functions evaluated, the list/graph page produced higher scores on all indices except for contexts & text. In case of contexts & text, learning material page produced the best score, compared with the other functions. In general, the explicit designation of learners of their interests, one of the distinctive functions, received lower scores on all usability indices because of its unfamiliar functionality to the users. In summary, the evaluation results show that our system has achieved high usability with good performance with some minor issues, which need to be fully addressed before the public release of the system to large-scale users. The study findings provide practical guidelines for the design and development of various systems that utilize collective intelligence.