Skip to main content

Improving Visibility and Reducing Resistance of Writers to Fusion of Handwritten and Type Characters

  • Conference paper
  • First Online:
Collaboration Technologies and Social Computing (CollabTech 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11000))

Included in the following conference series:

Abstract

Most Japanese people feel happy to receive a handwritten message, but they often have resistance to writing a message by hand. One of the reasons for this is that they are shy about showing their handwriting to others. In this study, we consider a technique that fuses handwriting with typeface in order to reduce the resistance to handwriting and improve the impression of the message. Experimental results demonstrate the visibility and readability of the considered fusion technique and show that the resistance to sending handwritten messages fused with typeface can be decreased.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Zebra Corporation: Attitude Survey on the Handwriting. http://www.zebra.co.jp/press/news/2014/0918.html. Accessed 24 Mar 2018

  2. The Agency for Cultural Affairs: The Public Opinion Poll on Japanese. http://www.bunka.go.jp/tokei_hakusho_shuppan/tokeichosa/kokugo_yoronchosa/pdf/h24_chosa_kekka.pdf. Accessed 24 Mar 2018

  3. Font Garage: What’s UD Font. http://font.designers-garage.jp/ud/. Accessed 24 Mar 2018

  4. Iwata Corporation: Iwata UD Font. http://www.iwatafont.co.jp/ud/index.html. Accessed 24 Mar 2018

  5. Saito, J., Nakamura, S., Suzuki, M.: A method to increase reader’s empathy by merging their handwritten characters and text in speech balloon in digital comics. In: The Japanese Society for Artificial Intelligence, JSAI, Nagoya (2017). (in Japanese)

    Google Scholar 

  6. Zintnick, C.L.: Handwriting beautification using token means. In: ACM Special Interest Group on Computer Graphics and Interactive Techniques, vol. 32. SIGGRAPH, Anaheim (2013)

    Google Scholar 

  7. Zhu, X., Jin, L.: Calligraphic beautification of handwritten chinese characters: a patternized approach to handwriting transfiguration. Semant. Sch. (2008)

    Google Scholar 

  8. Kurihara, K., Goto, M., Ogata, J., Igarashi, T.: Speech pen: predictive handwriting based on ambient multimodal recognition. In: ACM SIGCHI Conference on Human Factors in Computing Systems, pp. 851–860. CHI, Montreal (2006)

    Google Scholar 

  9. Kambara, K., Tsukada, K., Onomatopen: painting using onomatopoeia. In: 9th International Conference on Entertainment Computing, pp. 43–54. ICEC, Seoul (2010)

    Google Scholar 

  10. 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. IPCCC, Nanjing (2015)

    Google Scholar 

  11. Bernard, M., Liao, C.H., Mills, M.: The effects of font type and size on the legibility and reading time of online text by older adults. In: ACM SIGCHI Conference on Human Factors in Computing Systems, pp. 175–176. CHI, Seattle (2001)

    Google Scholar 

  12. Cai, D., Chi, C.-F., You, M.: The legibility threshold of Chinese characters in three-type styles. Int. J. Ind. Ergon. 27(1), 9–17 (2001)

    Article  Google Scholar 

  13. Liu, N., Ruifeng, Yu., Zhang, Y.: Effects of font size, stroke width, and character complexity on the legibility of Chinese characters. Hum. Fact. Ergon. Manuf. Serv. Ind. 26(3), 381–392 (2016)

    Article  Google Scholar 

  14. Morisawa: MORISAWA BIZ + . http://bizplus.morisawa.co.jp/. Accessed 24 Mar 2018

  15. Brother at your side. https://online.brother.co.jp/ot/dl/Contents/greeting/birthday/birthday_013/. Accessed 24 Mar 2018

  16. Nakamura, S., Suzuki, M.M., Komatsu, T.: Average handwritten hiragana-characters are beautiful. Inf. Process. Soc. Jpn 57(12), 2599–2609 (2016). (in Japanese)

    Google Scholar 

  17. Mukai, S.: Analysis of common cognition of impression among japanese fonts and tea beverage packaging. In: 5th Kanesi Engineering and Emotion Research, pp. 1509–1519. KEER, Linköping (2014)

    Google Scholar 

  18. Mukai, S., Hibino, H., Koyama, S.: Differences in ratings of impressions between Japanese calligraphic styles and a Japanese font. Int. J. Affect. Eng. 16(2), 53–56 (2017)

    Article  Google Scholar 

  19. Henderson, P.W., Giese, J.L., Cote, J.A.: Impression management using typeface design. J. Mark. 68(4), 60–72 (2004)

    Article  Google Scholar 

  20. Miyoshi, M., Shimoshio, Y., Koga, H., Uchimura, K.: On evaluation of similarity between visual impressions of handwritten character using Kansei information. Inst. Image Inf. Telev. Eng. Proc. 24(51), 1–8 (2000). (in Japanese)

    Google Scholar 

  21. Inoue, M., Kobayashi, T.: The research domain and scale construction of adjective-pairs in a semantic differential method in Japan. Jpn. Assoc. Educ. Psychol. 33(3), 253–260 (1985). (in Japanese)

    Article  Google Scholar 

  22. Dalton, P., Maute, C., Oshida, A., Hikichi, S., Izumi, Y.: The use of semantic differential scaling to define the multidimensional representation of odors. J. Sens. Stud. 23(4), 485–497 (2008)

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported in part by JST, JST ACCEL Grant Number JPMJAC1602, Japan, and Meiji University Priority Research A.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mikako Sasaki .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sasaki, M., Saito, J., Nakamura, S. (2018). 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) Collaboration Technologies and Social Computing. CollabTech 2018. Lecture Notes in Computer Science(), vol 11000. Springer, Cham. https://doi.org/10.1007/978-3-319-98743-9_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-98743-9_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98742-2

  • Online ISBN: 978-3-319-98743-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics