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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zebra Corporation: Attitude Survey on the Handwriting. http://www.zebra.co.jp/press/news/2014/0918.html. Accessed 24 Mar 2018
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
Font Garage: What’s UD Font. http://font.designers-garage.jp/ud/. Accessed 24 Mar 2018
Iwata Corporation: Iwata UD Font. http://www.iwatafont.co.jp/ud/index.html. Accessed 24 Mar 2018
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)
Zintnick, C.L.: Handwriting beautification using token means. In: ACM Special Interest Group on Computer Graphics and Interactive Techniques, vol. 32. SIGGRAPH, Anaheim (2013)
Zhu, X., Jin, L.: Calligraphic beautification of handwritten chinese characters: a patternized approach to handwriting transfiguration. Semant. Sch. (2008)
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)
Kambara, K., Tsukada, K., Onomatopen: painting using onomatopoeia. In: 9th International Conference on Entertainment Computing, pp. 43–54. ICEC, Seoul (2010)
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)
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)
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)
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)
Morisawa: MORISAWA BIZ + . http://bizplus.morisawa.co.jp/. Accessed 24 Mar 2018
Brother at your side. https://online.brother.co.jp/ot/dl/Contents/greeting/birthday/birthday_013/. Accessed 24 Mar 2018
Nakamura, S., Suzuki, M.M., Komatsu, T.: Average handwritten hiragana-characters are beautiful. Inf. Process. Soc. Jpn 57(12), 2599–2609 (2016). (in Japanese)
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)
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)
Henderson, P.W., Giese, J.L., Cote, J.A.: Impression management using typeface design. J. Mark. 68(4), 60–72 (2004)
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)
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)
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)
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
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
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)