Interaction pattern and motif mining method for doctor-patient multi-modal dialog analysis
Kenji Mase, Yuichi Sawamoto, Yuichi Koyama, Tomio Suzuki, Kimiko Katsuyama · 2009
We propose a bottom-up analysis method of multi-modal dialogue interaction with a pattern and motif mining method to summarize such interviews as between doctors and patients for medical diagnosis. Our aim is to generate a hierarchical model of the interviewing behavior of such kinds as interaction corpora, consisting of primitive, pattern, motif, and pattern clusters from the given dialogue session data. We exploit a Jensen-Shannon Divergence measure to extract important patterns and motifs. Medical interview is chosen as an important application of such analysis because a doctor's multi-modal interviewing technique is essential to establish a reliable relationship and to conclude with a successful diagnosis.