The study examined the effect of structural composition, position of occlusion, and education background on response time and accuracy rate of adult participants in recognition of occluded Chinese characters used in graphic design. Based on 18 Chinese characters selected from the top 4,000 most commonly used characters, a recognition experiment was conducted. Results indicated that, for the characters with two different composition structures, the right position was the best position of occlusion because the recognition of the radical or feature of a character would be least affected, leading to a shorter response time and more accurate reading comprehension. Educational background did not have a significant influence on response time and recognition accuracy.
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References
1.
BiedermanI. (1981) On the semantics of a glance at a scene. In KubovyM.PomerantzJ. R. (Eds.), Perceptual organization. Hillsdale, NJ: Erlbaum, Pp. 213–253.
2.
BiedermanI. (1987) Recognition-by-components: a theory of human image understanding. Psychological Review, 94(2), 115–147.
3.
BiedermanI.MezzanotteR. J.RabinowitzJ. C. (1982) Scene perception: detecting and judging objects undergoing relational violations. Cognitive Psychology, 14, 143–177.
4.
CaiD.ChiC. F.YouM. (2001) The legibility threshold of Chinese characters in three type styles. International Journal of Industrial Ergonomics, 27, 9–17.
5.
ChangL.SunJ.SuwaM.TakebeH.HeY.NaoiS. (2010) Occluded text restoration and recognition. In Proceedings of the 9th IAPR International Workshop on Document Analysis Systems. New York: ACM, Pp. 151–158.
6.
ChenX. R. (1974) [Graphic design of English and Chinese characters]. Taipei, Taiwan: Dong-Woo Printing. [in Chinese]
7.
ChengC. M. (1981) Perception of Chinese characters. Chinese Journal of Psychology, 23(2), 137–153.
8.
ChiangS. B.SunC. W. (2014) Impacts of learning background and different contextual sentences on shot interpretation in word-to-image transcoding process. Journal of Design, 19(3), 41–62.
9.
DobresJ.ChahineN.ReimerB.MehlerB. (2014) An exploratory psychophysical investigation of the relative glance legibility of Chinese typefaces [MIT AgeLab White Paper No. 2014-4]. Cambridge, MA: Massachusetts Institute of Technology.
10.
DuncanJ. (1987) Attention and reading: wholes and parts in shape recognition. In ColtheartM. (Ed.), Attention and performance XII. Hillsdale, NJ: Erlbaum, Pp. 39–61.
11.
EisnerE. W. (1994) Cognition and curriculum reconsidered. (2nd ed.) New York: Teachers College Press.
12.
FukushimaK. (1988) Neocognitron: a hierarchical neural network capable of visual pattern recognition. Neural Networks, 1, 119–130.
13.
FukushimaK. (2001) Recognition of partly occluded patterns: a neural network model. Biological Cybernetics, 84, 251–259.
14.
FukushimaK. (2013) Artificial vision by multi-layered neural networks: neocognitron and its advances. Neural Networks, 37, 103–119.
15.
HoC. S-H.BryantP. (1997) Learning to read beyond the logographic phase. Reading Research Quarterly, 32(3), 276–289.
16.
HoosainR. (1992) Psychological reality of the word in Chinese. In ChenH. C.TzengO. J. L. (Eds.), Language processing in Chinese. Amsterdam, The Netherlands: North-Holland, Pp. 111–130.
17.
HsuC. C.WangR. W. Y. (2009) The relationship between learning background and the preference to simplified graphics. Research in Arts Education, 17, 109–130.
18.
HsuC. C.WangR. W. Y. (2010) The relationship between shape features and degrees of graphic simplification. Journal of Design, 15(3), 87–105.
19.
HsuS. H.HuangH. S. (2000) Interword spacing in Chinese text layout. Perceptual & Motor Skills, 91, 355–365.
20.
HuangK. C.HsuS. H. (2005) Effects of numbers of strokes on Chinese character recognition during a normal reading condition. Perceptual & Motor Skills, 101, 845–852.
21.
LiuY. C.WangL. T. (2012) [The study of icons: Chinese character radicals]. Journal of Aesthetics and Visual Arts, 4, 1–20. [in Chinese]
22.
SeidenbergM. S. (1985) The time course of information activation utilization in visual word recognition. In BesnerD.WallerT. G.MackinnonG. E. (Eds.), Reading research: advances in theory and practice. Vol. 5. New York: Academic Press.
23.
ShiehK. K.ChenM. T.CuangJ. C. (1997) Effects of color combination and typography on identification of characters briefly presented on VDTInternational Journal of Human-Computer Interaction, 9, 169–181.
24.
ShuH.AndersonR. C.WuN. (2000) [Phonetic awareness: knowledge of orthography-phonology relationships in the character acquisition of Chinese children]. Journal of Educational Psychology, 92(1), 56–62. [in Chinese]
25.
SugiuraK. (Ed.) (2006) Books, text, and design in Asia. Taipei, Taiwan: Awakening Joint Publishing. [in Chinese]
26.
WuJ. T. (1987) [Exploring the phonetic and semantic features of Chinese words: Part 1. Frequency count of Chinese words, characters, and monosyllables]. (Grant No. NSC-75-0301-H002-24) Taipei, Taiwan: National Science Council. [in Chinese]
27.
WuM. S.ChiuI. T. (1995) [Graphic design of Chinese character formation]. Taipei, Taiwan: New Image, [in Chinese]
28.
YangF. L.WuJ. T. (2014) [Orthographic inhibition between characters with identical semantic radicals in primed character decision tasks]. Chinese Journal of Psychology56(1), 49–63. [in Chinese]
29.
YehS. L.LiuH. C. (1997) Human pattern perception. Science Monthly, 331, 536–543.
30.
ZeigarnikB. (1999) On finished and unfinished tasks. In EllisW. D. (Ed.), A source book of Gestalt psychology. London, UK: Routledge.
