To examine the mechanism behind choice of script typein Japanese writing, four experiments were conducted. In Experiment 1-A, students evaluated Kanji, Hiraganaand Katakana semantic images using the word association method and in Experiment 1-B, subjects were given a semantic differential test of 21 adjective pairs. Theresults of both experiments showed that each script type possesses different semantic images. In Experiment 2, students listed famous people whose names are compatible with the semantic images associated with the Kanji, Hiragana, and Katakana scripts. In Experiment 3, the effects associated with compatibility between mental representations of human names and semantic images of script type were investigated. The results showed that the script type compatible with the human name had a high probability of dictating the choice ofscript type in relation to how target words were written, i.e., Kanji-compatible personal names ledto a high choice rate of Kanji script when thetarget word was written down. Experiment 4 examined theeffect of mental associations connected with human nameson choice of script type by a short ISIcross-modal priming test paradigm. The resultssuggest that there are no implicit relationships betweensemantic images of script types and personal namesin Japanese writing.Based upon the results, two tentative cognitivemodels to explain how Japanese people select aparticular type of script from three types werehypothesized, and it was concluded that bothmodels can be applied, depending on the requiredtask.
Reading and Writing – Springer Journals
Published: Jun 1, 2003
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera