Research on Design of Emerging Human-Artifact Collaborative Systems Based on Self-Organizing Principle

在传统的人机系统设计中，系统的设计者处于人类用户和自动化系统之间的交互之外的外部位置。他一直是一个外部观察者，他的任务一直是如何在以技术为中心的思想基础上设计两者之间的优化互动。无论如何，人和计算机应该被视为来自同一个职位、拥有不同专业知识的两方。人和自动化系统必须被视为对等的合作伙伴，而不是被认为其中一个高于另一个。自动化系统的设计者和用户遇到冲突的矛盾情况可能仍然很常见，但这是必须允许的。这里更重要的是如何让它们相互协作，将目前的冲突状态转变为新的协调状态，从而实现更安全的电厂状态和更好的运营。从这个意义上说，We…更多的人必须将我们对人机关系的看法扩展到人和机器之间的社会互动关系，以在机器和人之间建立一个共识领域。通过与他人的互动和对这一经历的反思，生命系统重建了对现实的定义，这导致它们的行为不同，并改变了互动模式。在这个项目中，我们开发了一个通用的观察系统的学习模型，而不是被观察的系统，并通过内部启发的活动，通过进化发展来实现一个连续的自我生产过程。本项目中尝试的实际域如下：1.作为Human Associate2的接口代理。基于任务形态的机器人遥操作系统机器人-遥操作的混合主动交互4.对界面试剂的选择性和动态感知5.界面代理通过激活概念共享的多粒度类别来管理计算复杂性6。人机交互分析与设计的生态学方法7。时间压力和资源约束性较小的群体工作中组织行为的产生

In the conventional design of human-machine systems, the designer of the system has taken an external position lying outside of the interactions made between the human user and the automated system. He has been an external observer and his task has been on how to design the optimized inter acti on between them based on the technology-centered idea. Anyway, human and computer should be looked as two parties coming from the same positions and having different expertise. The human and the automation system must be regarded as equivalent partners, rather than one of them is regarded as superior to the other. It may be still usual that there happens a contradictory situation where the designer and the user of the automation system meet conflicts, but this must be allowed. What is more important here is how to let them cooper ate with each other to change a current conflictual status into a new coordinated one that can lead to a safer plant status and the better operations. In this sense, we … More have to extend our views on a human-computer relationship toward a socially-interacting relationship between the human and the machine to establish a consensual domain between the machine and the human. By interacting with the others and reflecting on this experience, living systems reconstruct a definition of the reality, which causes them behave differently and changes the interaction patterns. This is iterated indefinitely, so the living system keeps changing and produce a variability.Based on the above idea, in this project we developed a general learning model of observing systems, rather than observed systems, and have a continuous self-production process enabled by evolutional development through its internally-inspired activities. The actual domains attempted in this project are as follows :1. Interface Agent as a Human Associate2. Robot Teleoperation System Using Task-Morphology3. Mixed-Initiative Interactions for Robot-Teleoperation4. Selective and Dynamic Perception of Interface Agents5. Interface Agent's Managing Computational Complexity through Activating Multigranular Categories for Concept Sharing6. Ecological approach to analysis and design of Human-Machine Interactions7. Emergence of Organizational Behaviors out of Group Works under Time Pressure and Resource Boundedness Less