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タイトル: Database of synesthetic color associations for Japanese kanji.
著者: Hamada, Daisuke
Yamamoto, Hiroki  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-9802-1683 (unconfirmed)
Saiki, Jun  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-3480-4336 (unconfirmed)
著者名の別形: 山本, 洋紀
キーワード: Grapheme–color synesthesia
Japanese kanji characters
Synesthetic colors database
Grapheme–color association
Distribution of synesthetic colors
発行日: Feb-2017
出版者: Springer US
誌名: Behavior research methods
巻: 49
号: 1
開始ページ: 242
終了ページ: 257
抄録: Synesthesia is a neurological phenomenon in which certain types of stimuli elicit involuntary perceptions in an unrelated pathway. A common type of synesthesia is grapheme-color synesthesia, in which the visual perception of letters and numbers stimulates the perception of a specific color. Previous studies have often collected relatively small numbers of grapheme-color associations per synesthete, but the accumulation of a large quantity of data has greater promise for uncovering the mechanisms underlying synesthetic association. In this study, we therefore collected large samples of data from a total of eight synesthetes. All told, we obtained over 1000 synesthetic colors associated with Japanese kanji characters from each of two synesthetes, over 100 synesthetic colors form each of three synesthetes, and about 80 synesthetic colors associated with Japanese hiragana, Latin letters, and Arabic numerals from each of three synesthetes. We then compiled the data into a database, called the KANJI-Synesthetic Colors Database (K-SCD), which has a total of 5122 colors for 483, 46, and 46 Japanese kanji, hiragana, and katakana characters, respectively, as well as for 26 Latin letters and ten Arabic numerals. In addition to introducing the K-SCD, this article demonstrates the database's merits by using two examples, in which two new rules for synesthetic association, "shape similarity" and "synesthetic color clustering, " were found. The K-SCD is publicly accessible ( www.cv.jinkan.kyoto-u.ac.jp/site/uploads/K-SCD.xlsm ) and will be a valuable resource for those who wish to conduct statistical analyses using a rich dataset in order to uncover the rules governing synesthetic association and to understand its mechanisms.
著作権等: The final publication is available at Springer via http://dx.doi.org/10.3758/s13428-015-0691-z.
The full-text file will be made open to the public on 1 February 2018 in accordance with publisher's 'Terms and Conditions for Self-Archiving'
This is not the published version. Please cite only the published version.
この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
URI: http://hdl.handle.net/2433/203059
DOI(出版社版): 10.3758/s13428-015-0691-z
PubMed ID: 26743197
出現コレクション:学術雑誌掲載論文等

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