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Frustration Detection using Online Handwriting Behavior

Research Project

Project/Area Number 26540046
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Multimedia database
Research InstitutionWaseda University

Principal Investigator

YAMANA HAYATO  早稲田大学, 理工学術院, 教授 (40230502)

Co-Investigator(Renkei-kenkyūsha) ASAI Hiroki  早稲田大学, 理工学術院, 研究助手 (30631105)
Project Period (FY) 2014-04-01 – 2016-03-31
Project Status Completed (Fiscal Year 2015)
Budget Amount *help
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Keywordsオンライン手書きデータ / 電子ペン / 学習つまずき / データマイニング / ビッグデータ / 記憶度推定 / 数学解法分類 / 教育支援 / ユーザインタフェース / つまずき解析 / ビッグデータ分析
Outline of Final Research Achievements

In the era of educational computerization, this research aimed to extract students’ frustration during their study by using online handwritten data, followed by promoting effective personalized study which will be realized in near future.

We classified student’s frustration into two categories: 1) frustration caused from non-established memory and 2) frustration during their answering process. As for 1), we defined “memory” into non-established, subjective established, and subjective non-established memory. Then, our proposed system, targeting Japanese Kanji memorization, tried to detect non-established memory automatically from subjective-established memory where students thought they memorized but not memorized in fact. Our evaluation shows 0.69 F-value which is applicable to the real world. As for 2), we picked up mathematical problems. The result to categorize their processes shows 0.5 to 0.7 F-value, which will be applicable to the real world.

Report

(3 results)
  • 2015 Annual Research Report   Final Research Report ( PDF )
  • 2014 Research-status Report
  • Research Products

    (8 results)

All 2016 2015 2014 Other

All Int'l Joint Research (2 results) Journal Article (1 results) (of which Peer Reviewed: 1 results,  Acknowledgement Compliant: 1 results) Presentation (3 results) Remarks (2 results)

  • [Int'l Joint Research] オークランド大学(ニュージーランド)

    • Related Report
      2015 Annual Research Report
  • [Int'l Joint Research] オーストラリア国立情報学研究所(オーストラリア)

    • Related Report
      2015 Annual Research Report
  • [Journal Article] Detecting Learner’s To-Be-Forgotten Items using Online Handwritten Data2015

    • Author(s)
      Hiroki Asai,Hayato Yamana
    • Journal Title

      Proc. of the 15th Annual ACM SIGCHI_NZ conference on Computer-Human Interaction

      Volume: 1 Pages: 17-20

    • DOI

      10.1145/2808047.2808049

    • Related Report
      2015 Annual Research Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Presentation] 電子ペンを利用した数学手書き答案の戦略分類手法~多項式展開問題を題材として~2016

    • Author(s)
      浅井洋樹, 山名早人
    • Organizer
      情報処理学会研究報告(第133回コンピュータと教育研究会)
    • Place of Presentation
      東京農工大学
    • Year and Date
      2016-02-06
    • Related Report
      2015 Annual Research Report
  • [Presentation] 文字配置の平均化による手書き文章の魅力的な文字配置方法2015

    • Author(s)
      鬼沢和也,浅井洋樹,山名早人
    • Organizer
      DEIM2015
    • Place of Presentation
      郡山市(福島県)
    • Year and Date
      2015-03-02 – 2015-03-04
    • Related Report
      2014 Research-status Report
  • [Presentation] オンライン手書き情報を用いた未定着記憶推定システム2014

    • Author(s)
      浅井洋樹, 山名早人
    • Organizer
      報, Vol.2014-CE-127(1), pp.1-6
    • Place of Presentation
      九大(福岡県)
    • Year and Date
      2014-12-06 – 2014-12-07
    • Related Report
      2014 Research-status Report
  • [Remarks] 数学手書き答案の自動戦略分類手法

    • URL

      http://www.yama.info.waseda.ac.jp/member/asai

    • Related Report
      2015 Annual Research Report
  • [Remarks] AnswersheetAnalysis(ソースコード配布)

    • URL

      https://github.com/h-asai/AnswersheetAnalysis

    • Related Report
      2015 Annual Research Report

URL: 

Published: 2014-04-04   Modified: 2017-05-10  

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