• DocumentCode
    243587
  • Title

    Modeling of Writing and Thinking Process in Handwriting by Digital Pen Analysis

  • Author

    Ikegami, Kenshin ; Ohsawa, Yukio

  • Author_Institution
    Dept. of Syst. Innovation, Univ. of Tokyo, Tokyo, Japan
  • fYear
    2014
  • fDate
    14-14 Dec. 2014
  • Firstpage
    447
  • Lastpage
    454
  • Abstract
    In order to acquire infrequent events as new ideas and evaluate the ideas quantitatively, it is necessary to know how people create and refine ideas and to model creating and refining process. In this paper, we focused on relations between thinking time and writing time in handwriting, and proposed to model the relation by externalization, classification, relation, transportation and systematization, which are elements to make sentences. The relation depended on questions and formats of sheets. When sheets give participants the question answered by sentences, writing time become longer as thinking time is longer. On the other hand, if sheets give the question which could be answered only by words, writing time become shorter as thinking time is longer. We hypothesized that participants spent more time classifying, relating and transporting words in answering only by words than in answering by sentences. We could also confirm that when the same questions were given twice, writing time became longer and thinking time became shorter second time than first time. It was because enough externalizations were performed first time and participants spent less time externalizing second time.
  • Keywords
    Big Data; cognition; creating process; digital pen analysis; externalization; handwriting; thinking process; thinking time; writing process; writing time; Conferences; Correlation; Educational institutions; Equations; Planning; Transportation; Writing; cognition; handwriting; meta cognition; modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshop (ICDMW), 2014 IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4799-4275-6
  • Type

    conf

  • DOI
    10.1109/ICDMW.2014.85
  • Filename
    7022630