Journal of Korea Society of Industrial Information Systems (한국산업정보학회논문지)

Korea Society of Industrial Information Systems (한국산업정보학회)
권호 표지
DOI QR코드

DOI QR Code

Color Recommendation for Text Based on Colors Associated with Words

  • Liba, Saki (Graduate School of Informatics and Engineering, The University of Electro-Communications) ;
  • Nakamura, Tetsuaki (Graduate School of Informatics and Engineering, The University of Electro-Communications) ;
  • Sakamoto, Maki (Graduate School of Informatics and Engineering, The University of Electro-Communications)
  • Published : 2012.02.29
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we propose a new method to select colors representing the meaning of text contents based on the cognitive relation between words and colors, Our method is designed on the previous study revealing the existence of crucial words to estimate the colors associated with the meaning of text contents, Using the associative probability of each color with a given word and the strength of color association of the word, we estimate the probability of colors associated with a given text. The goal of this study is to propose a system to recommend the cognitively plausible colors for the meaning of the input text. To build a versatile and efficient database used by our system, two psychological experiments were conducted by using news site articles. In experiment 1, we collected 498 words which were chosen by the participants as having the strong association with color. Subsequently, we investigated which color was associated with each word in experiment 2. In addition to those data, we employed the estimated values of the strength of color association and the colors associated with the words included in a very large corpus of newspapers (approximately 130,000 words) based on the similarity between the words obtained by Latent Semantic Analysis (LSA). Therefore our method allows us to select colors for a large variety of words or sentences. Finally, we verified that our system cognitively succeeded in proposing the colors associated with the meaning of the input text, comparing the correct colors answered by participants with the estimated colors by our method. Our system is expected to be of use in various types of situations such as the data visualization, the information retrieval, the art or web pages design, and so on.

Keywords

References

  1. N. Amano, and T. Kondo, "NTT database series Nihongo Goitokusei [Lexical properties of Japanese]", Sanseido, Vol. 16, Tokyo Japan, 1999.
  2. S. Deerwester, S. T. Dumais, G. W. Furnas, T. K. Landauer, and R. Harshma, "Indexing by latent semantic analysis", Journal of the American Society for Information Science, Vol. 41, No. 6, pp. 391 407, Sept. 1990. https://doi.org/10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9
  3. R. H. Hall, and P. Hanna. "The impact of web page texts background colour combinations on readability, retention, aesthetics and behavioural intention", Behaviour & Information Technology, Vol. 23, No. 3, pp. 183 195, May 2004. https://doi.org/10.1080/01449290410001669932
  4. C. Havasi, R. Speer, and J. "Automated color selection using semantic knowledge". In AAAI Fall Symposium Common Sense Knowledge, Arlington USA, 2010.
  5. Y. Kiyoki, and X. Chen, "A semantic associative computation method for automatic decorative multimedia creation with 'kansei' information", Proc. of the 6th Asia Pacific Conference on Conceptual Modeling, Vol. 96, pp. 7 15, Wellington New Zealand, Jan. 2009.
  6. H. Liu, T. Selker, and H. Liebberman, "Visualizing the affective structure of a text document", Proc. of the Conference on Human Factors in Computing Systems Computer Human Interaction, Ft. Lauderdale USA, April 2003.
  7. C. Ma, H. Prendinger, and M. Ishizuka, "A chat system based on emotion estimation from text and embodied conversational messengers", Proc. of the 4th International Conference on Entertainment Computing, pp. 535 538, Kobe Japan, Sept. 2005.
  8. A. Marcus, "Color and communication; help is on the way", ACM SIGDOC Asterisk Journal of Computer Documentation, Vol. 15, No. 3, pp. 15 19, Nov. 1991. https://doi.org/10.1145/1111144.1111149
  9. B. J. Meier, "ACE: A color expert system for user interface design", Proc. of the ACM SIGGRAPH Symposium on User Interface Software, pp. 117 128, Oct. 1988.
  10. C. B. Mills, and L. J. Weldon, "Reading text from computer screens", ACM Computing Survery, Vol. 19, No. 4, pp. 329 357, Dec. 1987. https://doi.org/10.1145/45075.46162
  11. S. Mohammad, "Colourful language: Measuring word colour associations", Proc. of the ACL 2011 Workshop on Cognitive Modeling and Computational Linguistics, Portland USA, June 2011.
  12. A. Mojsilovic, "A computational model for color naming and describing color composition in images", IEEE Transactions on Image Processing, Vol. 14, No. 5, pp. 690 699, May 2005. https://doi.org/10.1109/TIP.2004.841201
  13. T. Nakamura, O. P. Sakolnakorn, A. Hansuebsai, P. Pungrassamee, and T. Sato, "Emotion induced from colour and its language expression", Proc. of the AIC 2004 Color and Paints, pp. 328 331, Parto Alegre Brazil, Nov. 2004.
  14. T. Nakamura, K. Kawanishi, and M. Sakamoto, "A possibility of music recommendation based on lyrics and color" [in Japanese], IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. 94 A, No. 2, pp. 85 94, Feb. 2011.
  15. L. C. Ou, M. R. Luo, A. Woodcock, and A. Wright, "A study of colour emotion and colour preference", Color Research & Application, Vol. 29, No. 3, pp. 232 240, June 2004. https://doi.org/10.1002/col.20010
  16. F. V. Scharff, A. L. Hill, and A. J. Ahumada, "Discriminabillity measures for predicting readability of text on textured backgrounds", Optics Express, Vol. 6, No. 4 , pp. 81 91, Feb. 2000. https://doi.org/10.1364/OE.6.000081
  17. C. Strapparava, and G. Ozbal, "The color of emotions in texts", Proc. of the 2nd Workshop on Cognitive Aspects of the Lexicon, pp. 28 32, Beijing China, Aug. 2010.
  18. K. Yamazaki., N. Muranaka, M. Sasajima, and N. Udagawa, "Mail system with considering kansei: Kansei mail". Annual design review of Japanese Society for the Science of Design, Vol. 9, No. 9, pp. 52 57, March 2004.
  19. J. Zhang, and D. A. Norman, "Representations in distributed cognitive tasks", Cognitive Science, Vol. 18, No. 1, pp. 87 122, Jan. 1994. https://doi.org/10.1207/s15516709cog1801_3