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Ten Years of Rich Internet Applications: A Systematic Mapping Study, and Beyond
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| 2 |
Analysis and Tracking of Emotions in English and Bengali Texts: A Computational Approach
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In: http://www.www2011india.com/proceeding/companion/p343.pdf
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| 3 |
What You See is What You Worry About: Errors – Real and Imagined
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In: http://www.bcs.org//upload/pdf/ewic_hc08_v2_paper19.pdf
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Abstract:
This paper describes a text task in which children wrote their own stories in their regular school books, copied these stories onto digital paper using digital pens, had their handwritten stories recognized by the computer software, and then, looked at the text presented back to them and highlighted errors. There was considerable variability in the ability of the children to spot errors. Some children marked text as being wrong when in fact it was right. Most children spotted almost all the errors but were less likely to notice errors where incorrect but reasonable words had been presented back to them than where the words given by the recognizer were nonsense. In 13 instances, children had one of their own errors corrected by the interface but this was not noticed. The study highlighted several difficulties with the classification and reporting of errors in handwriting recognition based interfaces especially in the counting and classification of errors. Two new metrics for classifying and counting errors in this context are therefore proposed in this paper.
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Keyword:
Design; Errors; Experimentation; Handwriting recognition; Human Factors; Keywords Children; Measurement; Performance; Standardization; Text input; Tolerance
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URL: http://www.bcs.org//upload/pdf/ewic_hc08_v2_paper19.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.519.9185
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| 4 |
Improved Word List Ordering for Text Entry on Ambiguous Keypads
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In: http://www.yorku.ca/mack/Nordichi2008-p152.pdf
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| 5 |
My Automated Conversation Helper (MACH): Helping People Improve Social Skills
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In: http://affect.media.mit.edu/pdfs/12.Hoque-ICMI-DC.pdf
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| 6 |
MCU at NTCIR: Chinese Fact Validation via SVM Context Ranking
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings11/pdf/NTCIR/RITEVAL/19-NTCIR11-RITEVAL-WuY.pdf
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| 7 |
Empirical Comparison of Language Workbenches
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In: http://dsmforum.org/events/DSM13/Papers/Kelly.pdf
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