活動量に基づく幼児の交友関係の抽出

• 糠野 亜紀

  常磐会短期大学幼児教育科

• 新谷 公朗

  常磐会短期大学幼児教育科

• 勝木 琢也

  同志社大学工学部

• 木原 真哉

  同志社大学大学院工学部研究科

• 上田 真梨

  同志社女子中学・高等学校

• 金田 重郎

  同志社大学工学部

• 芳賀 博英

  同志社大学工学部

書誌事項

タイトル別名

• Extraction of Children's Friendship Relation from Activity Level

抄録

Children learn to fit into society through living in a group, and it's greatly influenced by their friend relations. Although preschool teachers need to observe them to assist in the growth of children's social progress and support the development each child's personality, only experienced teachers can watch over children while providing high-quality guidance. To resolve the problem, this paper proposes a mathematical and objective method that assists teachers with observation. It uses numerical data of activity level recorded by pedometers, and we make tree diagram called dendrogram based on hierarchical clustering with recorded activity level. Also, we calculate children's ``breadth'' and ``depth'' of friend relations by using more than one dendrogram. When we record children's activity level in a certain kindergarten for two months and evaluated the proposed method, the results usually coincide with remarks of teachers about the children.

収録刊行物

• 人工知能学会論文誌

  人工知能学会論文誌 23 (6), 402-411, 2008

  一般社団法人 人工知能学会

キーワード

• activity level
• association
• clustering
• data minig
• lifelog

詳細情報

• CRID: 1390282680085907584
• NII論文ID: 130000098251
• DOI: 10.1527/tjsai.23.402
• ISSN: 13468030
• ISSN: 13460714
• Web Site: http://www.jstage.jst.go.jp/article/tjsai/23/6/23_6_402/_pdf
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可