A language technology toolset for development of a large group augmented facilitation system

This paper explains a conceptual framework on how technology and the facilitation processes can be melded to support effective interaction in large, distributed groups of 50 to 5000 individuals. We provide an approach for the development of a complete system to augment the human facilitator. This system would first scan inputs for inconsistencies with the rules then engage the participant in an activity to modify the input to be consistent with the TSF ground rules. Then the inputs are clustered with similar inputs and automatically summarized for the group and the facilitator. At this point group members can continue to contribute to the clusters, which are continuously re-summarized and distributed to the group. Meanwhile, the facilitator is developing a dynamic document of the groups´ interactions, behavior, progress and potential conclusions. As the meeting progresses the facilitator will modify processes to focus the group toward reaching conclusions on the cluster summaries. As with small, face-to-face meetings, the goal is to enable the group to reach a decision with appropriate or required levels of commitment from the group members. The functional elements of technology are currently available and have been integrated into robust systems for other applications. Adapting these functional components to a different domain such as group facilitation is feasible with a limited investment.