• Korea Multimedia Society
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• v.4 no.2
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• pp.24-38
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• 2000

No Abstract (See Full-text)

• Journal of Contemporary Eastern Asia
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• v.20 no.1
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• pp.151-168
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• 2021

Misguided use, manipulation, misappropriation, disruption and mismanagement of Information deeply affects the infosphere as well as the social and moral fabric of a society. Information ethics is an attempt to bring the creation, organization, dissemination, and use of information within the ambit of ethical standards and moral codes. The diverse and inherently pluralistic nature of societies however puts forth an additional demand on us - to come up with an intercultural information ethics. An intercultural ethics which is other-centric, context sensitive and workable without being homogenizing, patronizing and colonizing. An endeavor in that direction has already been made by proponents of intercultural information ethics like: Charles M. Ess, Fay Sudweeks, Rafael Capurro, Pak-Hang Wong, Soraj Hongladarom et al. In our paper, we propose that the kind of ethical pluralism being sought in the domain of information ethics can be attained by having a reappraisal of the current methodological strategies, by casting a critical relook at the Eurocentric ethical model. This paper analyses the current framework of Intercultural Information Ethics. And in an endeavour to move towards an all-encompassing, other-centric, workable, intercultural, harmonious and compassionate model of 'Pluralistic Information Ethics', it proposes the Indian / Asian philosophical method of 'Samvāda' to the current inventory which includes methods like: 'parrhesia/free speech' and 'interpretive phronēsis.

• TTA Journal
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• s.85
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• pp.138-148
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• 2003

본 고에서는 유비쿼터스, 퍼베이시브(pervasive), invisible computing 등 연구기관과 연구자 사이에서 서로 다르게 명명되는 용어를 퍼베이시브 컴퓨팅으로 통일하여 명명하였다. DARPA에서 지원하는 퍼베이시브 컴퓨팅 관련 미국 내 주요 대학의 프로젝트는 MIT의 Oxygen, UC Berkeley의 Endeavour, Washington 대학의 Portolano, Georgia Tech & OGI 의 Infosphere, CMU의 Aura 프로젝트 등이 있다. 산업체에서의 가장 대표적인 경우가 IBM의 Websphere 제품군과 HP의 Cooltown이라 할 수 있다. 본 고에서는 주요 대학들의 퍼베이시브 프로젝트들을 분석하였고, 퍼베이시브 컴퓨팅의 상업적인 모델인 IBM 제품들을 분석하였다.

• Journal of Digital Convergence
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• v.7 no.1
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• pp.175-183
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• 2009

With the development of enabling technologies such as wireless networking and various types of hand held-mobile devices, Mobile intelligent agent has been widely applied to various fields. Different views on capabilities, advantages, and disadvantages of mobile intelligent agent providing an ubiquitous access are brought by field researchers and practitioners recently. The purpose of this paper is thus to provide the discussion of the comtemporary development of mobile intelligent agent in the contexts of the Infosphere, focusing especially on developing and nurturing the future research grounds such as information scalability, and information security. The results of this study would improve the applications of mobile intelligent agents in web transaction, especially mobile business surroundings where many interest groups have to adjust their point of issues rapidly due to the changing business environment, i.e., customer's change the order item in web.

• Asia pacific journal of information systems
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• v.34 no.1
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• pp.292-320
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• 2024

The amount of data a related to a person is so substantial that it appears that a digital version of them can be built thereon. They are usually handled as personal information, and the attempts made to understand personal information have led to bundling and unbundling of various data, yielding numerous fragmented categories of personal information. Therefore, we attempt to construct a generalizable lens for a deeper understanding of person-related data. We develop a theoretical framework that provides a fundamental method to understand these data as an entity of a digitally represented person based on literature review as well as the concepts of inforg and infosphere. The proposed framework suggests person-related data consist of three informational inforg dimensions that can preserve the archetype of a person, form, content, and interaction. Subsequently, the framework is examined and tested through several analyses in two different contexts: social media and online shopping mall. This framework demonstrates the suggested dimensions are interrelated with certain patterns, the prominent dimension can determine the data characteristics, and the dimensional composition of data types can imply the characteristics of the digitally represented person in certain contexts.