• 제목/요약/키워드: Users' Interaction

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A Collaborative Visual Language

  • Kim, Kyung-Deok
    • Journal of information and communication convergence engineering
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    • 제1권2호
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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.

지능형 협업 환경에서 사용자를 위한 효과적인 공간 인터랙션 제공 (Provision of Effective Spatial Interaction for Users in Advanced Collaborative Environment)

  • 고수진;김종원
    • 한국HCI학회:학술대회논문집
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    • 한국HCI학회 2009년도 학술대회
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    • pp.677-684
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    • 2009
  • 다양한 센서 네트워크와 유비쿼터스 기술이 제공되는 지능형 협업 환경은 사용자를 위해 확장된 인터랙션을 제공할 수 있다. 기존의 인터랙션이 사용자와 컴퓨터 머신과의 직접적인 인터랙션이 주를 이룬 반면 새로 확장된 인터랙션은 사용자와 공간과의 인터랙션을, 실질적으로 공간을 구성하는, 관리와 제어가 가능한 구성요소와의 인터랙션을 나타낸다. 본 논문은 이러한 공간 인터랙션을 효과적으로 제공할 수 있도록 하기 위해서 공간 오브젝트를 등록, 인식하고, 특히 사용자의 의도에 맞는 태스크를 지원하기 위해 과거의 인터랙션 정보를 이용한 템플릿 기반 맵핑 알고리즘을 설계한다. 제안된 알고리즘을 이용하는 경우, 공간 오브젝트가 증가함에 따라 템플릿을 검색하여 처리하는데 드는 시스템의 비용이 어느 정도 향상되는지 실험을 통해 분석하도록 하며, 진행되는 모든 공간 인터랙션을 시각적으로 보여주기 위한 그래픽 기반의 도시 방법을 소개하고 결론을 맺는다.

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복합건물에서 사용자의 기계결함민원 원단위 및 유지관리조직 대응의 상호작용 평가 (Evaluating Users' Occurrences Number and Interaction of Maintenance Management Personnel's Response for Mechanical Defects Complaint in Complex Building)

  • 곽노열
    • 대한건축학회논문집:구조계
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    • 제34권3호
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    • pp.95-102
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    • 2018
  • In order to understand interaction between building users' occupant performance and building maintenance performance of maintenance management personnel, actual data from maintenance activities of buildings were analyzed. Also, using building defect customer complaint data reported by building user, satisfaction data on building maintenance services of building users and service response time of maintenance management personnel, a method for evaluating interaction of buildings with the same purpose and same size was proposed. Throughout analysis, average number of occurrences per unit area per year for the mechanical complaints in complex building were presented. In addition, using building users' satisfaction with facility management services, attitude of responding to business obstacles, number of occurrences per unit area per year of mechanical complaints and complaint processing speed, interaction was comprehensively identified and compared.

A new human-robot interaction method using semantic symbols

  • Park, Sang-Hyun;Hwang, Jung-Hoon;Kwon, Dong-Soo
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.2005-2010
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    • 2004
  • As robots become more prevalent in human daily life, situations requiring interaction between humans and robots will occur more frequently. Therefore, human-robot interaction (HRI) is becoming increasingly important. Although robotics researchers have made many technical developments in their field, intuitive and easy ways for most common users to interact with robots are still lacking. This paper introduces a new approach to enhance human-robot interaction using a semantic symbol language and proposes a method to acquire the intentions of robot users. In the proposed approach, each semantic symbol represents knowledge about either the environment or an action that a robot can perform. Users'intentions are expressed by symbolized multimodal information. To interpret a users'command, a probabilistic approach is used, which is appropriate for interpreting a freestyle user expression or insufficient input information. Therefore, a first-order Markov model is constructed as a probabilistic model, and a questionnaire is conducted to obtain state transition probabilities for this Markov model. Finally, we evaluated our model to show how well it interprets users'commands.

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