Analysis of Utilization in the Message Card Production by Use of Fusion Character of Handwriting and Typeface

  • Mikako SasakiEmail author
  • Junki Saito
  • Satoshi Nakamura
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11749)


Many Japanese people hope to receive handwritten messages from others even though they have resistance to handwrite messages for them. In previous studies, we have revealed that fusion character with handwriting and typeface could reduce the resistance toward handwriting. However, the system used in the previous studies did not allow users to change the type of typeface and the fusion rate, so it was not clear how our fusion method can be utilized. In this paper, we implemented a prototype system to create message cards with a fusion method which enables users to control the fusion rate and to select the typeface. Then, we conducted experiments on whether writers change the way to use the system according to their relationship with the reader or the effect of the message card’s design. The results of the experiments revealed that the writer changed the way to use the system depending on card designs and their relationship with the reader.


Handwriting Typeface Fusion character Message card Analysis 



This work was supported in part by JST ACCEL Grant Number JPMJAC1602.

Supplementary material

Supplementary material 1 (MP4 767 kb)


  1. 1.
    The Agency for Cultural Affairs: The Public Opinion Poll on Japanese/ Accessed 04 May 2019
  2. 2.
    Zitnick, C.L.: Handwriting beautification using token means. In: ACM Special Interest Group on Computer Graphics and Interactive Techniques (SIGGRAPH 2013), vol. 32, Anaheim (2013)Google Scholar
  3. 3.
    Niino, S., Hagiwara, N., Nakamura, S., Suzuki, M., Komatsu, T.: Analysis of average hand-drawing and its application. In: Chisik, Y., Holopainen, J., Khaled, R., Luis Silva, J., Alexandra Silva, P. (eds.) INTETAIN 2017. LNICST, vol. 215, pp. 34–48. Springer, Cham (2018). Scholar
  4. 4.
    Zebra Corporation: Attitude Survey on the Handwriting. Accessed 04 May 2019
  5. 5.
    Saito, J., Nakamura, S.: Fontender: interactive Japanese text design with dynamic font fusion method for comics. In: Kompatsiaris, I., Huet, B., Mezaris, V., Gurrin, C., Cheng, W.-H., Vrochidis, S. (eds.) MMM 2019. LNCS, vol. 11296, pp. 554–559. Springer, Cham (2019). Scholar
  6. 6.
    Sasaki, M., Saito, J., Nakamura, S.: Improving visibility and reducing resistance of writers to fusion of handwritten and type characters. In: Egi, H., Yuizono, T., Baloian, N., Yoshino, T., Ichimura, S., Rodrigues, A. (eds.) CollabTech 2018. LNCS, vol. 11000, pp. 185–199. Springer, Cham (2018). Scholar
  7. 7.
    Kato, Y., Kato, S., Akahori, K.: Effects of emotional cues transmitted in e-mail communication on the emotions experienced by senders and receivers. Comput. Hum. Behav. 23(4), 1894–1905 (2007)CrossRefGoogle Scholar
  8. 8.
    Kato, Y., Kato, S., Akahori, K.: Influences of self-disclosure and styles of writing messages in e-mails of recipients’ emotional aspects: a case study focusing on female university students. J. Sci. Educ. Jpn. 30(4), 216–228 (2006)Google Scholar
  9. 9.
    Cross, A., Bayyapunedi, M., Cutrell, E., Agarwal, A., Thies, W.: TypeRighting: combining the benefits of handwriting and typeface in online educational videos. In: SIGCHI Conference on Human Factors in Computing Systems (CHI 2013), Paris (2013)Google Scholar
  10. 10.
    Morisawa: MORISAWA BIZ+. Accessed 05 Apr 2019
  11. 11.
  12. 12.
  13. 13.
  14. 14.
  15. 15.
    Zhu, X., Jin, L.: Calligraphic beautification of handwritten Chinese characters: a patternized approach to handwriting transfiguration. Semantic Scholar (2008)Google Scholar
  16. 16.
    Lin, J.-W., Hong, C.-Y., Chang, R.-I., Wang, Y.-C., Lin, S.-Y., Ho, J.-M.: Complete font generation of Chinese characters in personal handwriting style. In: 34th Computing and Communications Conference (IPCCC2015), Nanijing (2015)Google Scholar

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© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  1. 1.Meiji UniversityNakano-kuJapan

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