| Co-Investigator(Kenkyū-buntansha) |
岡田 将吾 東京工業大学, 総合理工学研究科(研究院), 助教 (00512261)
黄 宏軒 立命館大学, 情報理工学部, 准教授 (00572950)
高瀬 裕 成蹊大学, 理工学部, 助教 (60744000)
林 佑樹 成蹊大学, 理工学部, 助教 (40633524)
|
|---|
| Budget Amount *help |
¥15,340,000 (Direct Cost: ¥11,800,000、Indirect Cost: ¥3,540,000)
Fiscal Year 2016: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2015: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2014: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2013: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
|
|---|
| Outline of Final Research Achievements |
This research project collected verbal and nonverbal behaviors in group discussions, and established models for estimating communication skills and important statements in the discussion. First, we conducted a corpus collection experiment using 40 subjects, and collected 14000 utterances, from which estimation models were created by exploiting machine learning techniques. The accuracy of the communication skill (high or low) estimation model was 93%. The model performance for detecting important utterances was 0.7 in F-measure. We also developed a conversation intervention robot and demonstrated its effectiveness.
|
