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Effectiveness of annotating by hand for non-alphabetical languages
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Proceedings of the SIGCHI conference on Human Factors in computing systems table of contents
Montréal, Québec, Canada
SESSION: Pen table of contents
Pages: 841 - 850  
Year of Publication: 2006
ISBN:1-59593-372-7
Authors
Muhd Dzulkhiflee Hamzah  University of Electro-Communications, Tokyo, Japan
Shun'ichi Tano  University of Electro-Communications, Tokyo, Japan
Mitsuru Iwata  University of Electro-Communications, Tokyo, Japan
Tomonori Hashiyama  University of Electro-Communications, Tokyo, Japan
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Unlike documents, annotation for multimedia information needs to be input as text, not in the form of symbols such as underlines and circles. This is problematic with keyboard input for non-alphabetical languages, especially the East Asian languages such as Chinese and Japanese, because it is labor intensive and imposes a high cognitive load. This study provides a quantitative analysis of the effectiveness of making annotations by hand during a note-taking task in Japanese. Although the lessons learned from this study come from Japanese text input, they are also generally applicable to other East Asian Languages which use ideographic characters such as Chinese. In our study, we focused on both the ergonomic and cognitive aspects and found that during annotation and note-taking task input by hand is more effective than input by keyboard. Finally, we anatomized the keyboard input problem and discuss it in this paper.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Muhd Dzulkhiflee Hamzah: colleagues
Shun'ichi Tano: colleagues
Mitsuru Iwata: colleagues
Tomonori Hashiyama: colleagues