支持信息过滤的一种新的群体感知模型

A new kind of group awareness model with information filter mechanism

通过分析群体感知所依赖的CSCW的体系结构,以及建立在这些结构上群体感知系统,指出了传统的群体感知体系所存在的局限和问题,给出了一种新的群体感知模型.这种新的群体感知模型,提供信息过滤机制,有效解决群体感知中的秘密泄露和用户干扰问题;纳入并发和排序机制,对复制式结构下多用户并发操作进行有效的串行化处理,既避免冲突,又尽可能提高CSCW系统的吞吐率;建立历史记录机制,把各用户在合作过程中对共享对象的所作所为加以跟踪记载,在必要时能以适当方式进行重放,以实现半同步感知.

This article points out the limitations and problems exist in the traditional group awareness system and gives out a new kind of group awareness model through analyzing the CSCW system architecture depended on group awareness and the group awareness system established on these architectures. This new group awareness model provides information filter mechanism. Effectively solve the secrets revealing and users interfering problems in group awareness, adopt concurrent and ordering mechanism effectively serial process about multi-user＇s concurrent operating conflict and try enhancing throughput rate of CSCW system. under replicated architecture, which avoid Creating history record mechanism which traces and records each user＇s behavior about shared object during collaboration, and replays with proper mode when necessary, in order to realize semi-sync.