大规模群智协同计算关键理论与技术

针对大规模群智协同计算在群智任务完成质量不高和群智用户贡献体验不好等方面的问题，本项目从参与式协同的角度入手，以最大程度提升利益相关者的参与度及参与者之间、任务之间和参与者与任务之间的协同度为目标，研究参与式群智协同计算的关键理论和技术。为了实现该目标，本项目聚焦“大规模参与式协同计算建模与群智任务融合优化”这个关键科学问题，创新性地在提出群智协同计算扩展活动理论并对群智协同计算的关键元素进行描述和建模的基础上，构建参与式群智协同计算框架；以此为指导，研究群智协同任务处理技术，同时进行参与式群智协同机制设计，实现参与者与任务的有序组织及其相互之间的动态协同，并提出参与式群智协同计算结果评估方法，重点从参与度和协同度两个角度进行评估；最后，基于群智协同计算应用平台——残疾人群智互助协同平台，验证并应用上述理论、方法与技术。

To solve the low task completion quality and poor user experience problems existing in large-scale Crowd Cooperative Computing (CCC), this project proposes to conduct research from the perspective of participatory cooperation and explore theories, methods and techniques of participatory CCC, which aims to strengthen stakeholders' participation and participators' cooperation, task cooperation as well as cooperation between participators and tasks. For this purpose, this project innovatively focuses on the key scientific research problem: large-scale participatory crowd cooperative computing modeling and crowd tasks fusion optimizing. First, we will propose CCC expanded activity theory and models to characterize the key factors in large scale Crowd Cooperative Computing. Based on that, we will conduct a participatory CCC framework which includes investigating task cooperative processing techniques, conducting cooperation mechanisms and evaluating the degree of participation and cooperation. In the end, a Crowd Cooperative Computing platform - crowd cooperation based mutual support platform for disabilities - will be built to verify the effectiveness and efficiency of proposed theories, methods and techniques.