視覺消息處理中多重管道之互動與整合─中文字形相似性研究（III)
Date Issued
1998
Date
1998
Author(s)
DOI
872413H002027G5
Abstract
Three parts are included in this project. (1)
To verify the classification system of the
shapes of Chinese characters identified by
Yeh, Li, and Chen (1997), the 1st part was
designed to avoid the two possible
shortcomings in the previous study. Twelve
predesignated categories of characters
adopted from Liu (1984) were selected to
cover a larger spectrum of Chinese characters.
In addition, the set size in each category was
varied to prevent subjects’ guessing as hinted
by the regularity of the constant set size. As
with the previous study, the subjects were
asked to group Chinese characters according
to the degree of similarities in their shapes.
Hierarchical cluster analysis and nonmetric
multidimensional scaling were conducted and
the results were consistent with the original
report by Yeh et al.. Horizontal, L-shaped,
厂-shaped, vertical and enclosed characters
formed 5 major clusters. Horizontal-vertical,
open-enclosed, and square-nonsquare were
identified as the 3 axes in the character space.
(2) To examine the influence of learning
experience and cognitive structure on
classification schemes of the shapes of
Chinese characters, the sorting results
obtained from Taiwanese, Japanese and
American undergraduates, and Taiwanese
illiterate elders and kindergartners were
compared. Though differing in the
pronunciation of Chinese characters the
classification results of Taiwanese and
Japanese undergraduates were very similar.
American undergraduates who have never
learned Chinese had similar judgement with
that of Taiwanese illiterate elders and
kindergartners. It thus seems that both
learning experience and cognitive structure
play certain roles in the classification of the
shapes of Chinese characters. (3) To examine
the effect of different conditions (i.e.,
different tasks & varied duration) on the
similarity judgment, discrimination task with
different duration and sorting task with
restricted and unrestricted groupings were
conducted. Stroke counts, brightness, radicals,
heavier components and structures between
sample characters were manipulated. The
results show that for short duration,
brightness (DC level) and the low spatial
frequency components were important,
whereas for long duration, structure was
more important. Among all conditions, stroke
counts affected subjects’ similarity judgment
substantially.
Subjects
Chinese character
classification
multidimensional scaling
cluster analysis
similarity
holistic
processing, feature analysis
processing, feature analysis
Publisher
臺北市：國立臺灣大學心理學系暨研究所
Type
report
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