Skip to main content

Exploring Cultural Differences in Pictogram Interpretations

  • Chapter
  • First Online:
The Language Grid

Part of the book series: Cognitive Technologies ((COGTECH))

Abstract

Pictogram communication is successful when participants at both ends of the communication channel share a common pictogram interpretation. Not all pictograms carry a universal interpretation, however; the issue of ambiguous pictogram interpretation must be addressed to assist pictogram communication. To unveil the ambiguity possible in pictogram interpretation, we conduct a human subject experiment to identify culture-specific criteria employed by humans by detecting cultural differences in pictogram interpretations. Based on the findings, we propose a categorical semantic relevance measure which calculates how relevant a pictogram is to a given interpretation in terms of a given pictogram category. The proposed measure is applied to categorized pictogram interpretations to enhance pictogram retrieval performance. The WordNet, the ChaSen, and the EDR Electronic Dictionary registered to the Language Grid are utilized to merge synonymous pictogram interpretations and to categorize pictogram interpretations into super-concept categories. We show how the Language Grid can assist the cross-cultural research process.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as 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
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Aurnhammer M, Hanappe P, Steels L (2006) Augmenting navigation for collaborative tagging with emergent semantics. 5th International Semantic Web Conference, Lecture Notes in Computer Science 4273, Springer: 58–71

    Google Scholar 

  • Baker BR (1982) Minspeak, a semantic compaction system that makes self-expression easier for communicatively disabled individuals. Byte 7(9): 186–202

    Google Scholar 

  • Beardon C (1995) Discourse structures in iconic communication. Artificial Intelligence Review 9(2–3): 189–203

    Article  Google Scholar 

  • Cho H., Ishida T, Oyama S, Inaba R., Takasaki T (2008) Assisting pictogram selection with categorized semantics. IEICE Transactions on Information and Systems E91-D (11): 2638–2646

    Google Scholar 

  • Cho H, Ishida T, Yamashita N, Koda T, Takasaki T (2009) Human detection of cultural differences in pictogram interpretations. 2009 Int'l Workshop on Intercultural Collaboration: 165–174

    Article  Google Scholar 

  • Fellbaum C (1998) Wordnet: an electronic lexical database. MIT Press, Cambridge

    MATH  Google Scholar 

  • Geertz C (1973) The interpretation of cultures. Basic Books, New York,

    Google Scholar 

  • Hall E (1976) Beyond culture. Doubleday & Company, New York

    Google Scholar 

  • Hofstede G, Hofstede GJ (2005) Cultures and organizations: software of the mind. McGraw-Hill, New York

    Google Scholar 

  • Kolers P (1969) Some formal characteristics of pictograms. American Scientist 57(3): 348–363

    Google Scholar 

  • Kroeber AL, Kluckhohn C (1952) Culture: a critical review of concepts and definitions. Harvard University Peabody Museum of American Archaeology and Ethnology Papers 47: 181

    Google Scholar 

  • Li R, Bao S, Fei B, Su Z, Yu Y (2007) Towards effective browsing of large scale social annotations. 16th Internationl World Wide Web Conference: 943–952

    Google Scholar 

  • Lin D (1998) An information-theoretic definition of similarity. 15th International Conference on Machine Learning: 296–304

    Google Scholar 

  • Manning CD, Schütze H (1999) Foundations of statistical natural language processing. MIT Press, Cambridge

    MATH  Google Scholar 

  • Marcus A (2003) Icons, symbols, and signs: visible languages to facilitate communication. Interactions 10(3): 37–43

    Article  Google Scholar 

  • Marlow C, Naaman M, Boyd D, Davis M (2006) HT06, tagging paper, taxonomy, Flickr, academic article, to read. 17th Conference on Hypertext and Hypermedia: 31–40

    Google Scholar 

  • Matsumoto Y, Kitauchi A, Yamashita T, Hirano Y, Imaichi O, Imamura T (1997) Japanese morphological analysis system ChaSen manual. NAIST Technical Report, NAIST-IS-TR97007.

    Google Scholar 

  • Niles I, Pease A (2001) Towards a standard upper ontology. 2nd International Conference on Formal Ontology in Information Systems: 2–9

    Google Scholar 

  • Rada R, Mili H, Bicknell E, Blettner M (1989) Development and application of a metric on semantic nets. IEEE Transactions on System, Man and Cybernetics 19(1): 17–30

    Article  Google Scholar 

  • Takasaki T (2007) Design and development of a pictogram communication system for children around the world. 2007 International Workshop on Intercultural Collaboration, Lecture Notes in Computer Science 4568, Springer: 193–206

    Google Scholar 

  • van Rijsbergen C (1979) Information retrieval. Butterworths, London

    Google Scholar 

  • Yokoi T The EDR electronic dictionary. Communication of the ACM 38(11): 42–44

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Heeryon Cho .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Cho, H., Ishida, T. (2011). Exploring Cultural Differences in Pictogram Interpretations. In: Ishida, T. (eds) The Language Grid. Cognitive Technologies. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21178-2_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-21178-2_9

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21177-5

  • Online ISBN: 978-3-642-21178-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics