13-11-2012, 02:09 PM
Tree-Based Mining for Discovering Patterns of Human Interaction in Meetings
ABSTRACT
Discovering semantic knowledge is significant for
understanding and interpreting how people interact in a
meeting discussion. In this paper, we propose a mining
method to extract frequent patterns of human interaction
based on the captured content of face-to-face meetings.
Human interactions, such as proposing an idea, giving
comments, and expressing a positive opinion, indicate
user intention toward a topic or role in a discussion.
Human interaction flow in a discussion session is
represented as a tree. Tree based interaction mining
algorithms are designed to analyze the structures of the
trees and to extract interaction flow patterns. The
experimental results show that we can successfully
extract several interesting patterns that are useful for the
interpretation of human behavior in meeting discussions,
such as determining frequent interactions, typical
interaction flows, and relationships between different
types of interactions.