Presentation 2005-12-16
Some properties of human-generated random sequences (Part 2) : "digits, Japanese Kana, English alphabet" and "oral, keyboard"
Takao MORI, HiroFumi YANAI,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Our previous study on human-generated random sequences revealed that (a) in contrast to uniform distribution of frequencies of orally called out digits, orally called out Japanese Kana's showed monotonically decreasing distribution, and (b) random sequences using keyboard in a row subjects preferred central keys. In this report we added the condition of orally called out ten English alphabets (from A to J). We analysed the distribution of repetition distance in addition to the frequencies of symbols and the frequencies of the first-order differences, and calculated characteristic parameters on redundancy, randomness, and adjacency of the sequences. We also found that, for keyboard-generated digits, although the frequencies of the symbols are almost equal. the first-order differences showed a noticeable difference that seemed attributable to handedness of the subject.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) random number / digit / Japanese Kana / English alphabet / handedness
Paper # NLP2005-85
Date of Issue

Conference Information
Committee NLP
Conference Date 2005/12/9(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Some properties of human-generated random sequences (Part 2) : "digits, Japanese Kana, English alphabet" and "oral, keyboard"
Sub Title (in English)
Keyword(1) random number
Keyword(2) digit
Keyword(3) Japanese Kana
Keyword(4) English alphabet
Keyword(5) handedness
1st Author's Name Takao MORI
1st Author's Affiliation Ibaraki University, Department of Media and Telecommunications()
2nd Author's Name HiroFumi YANAI
2nd Author's Affiliation Ibaraki University, Department of Media and Telecommunications
Date 2005-12-16
Paper # NLP2005-85
Volume (vol) vol.105
Number (no) 483
Page pp.pp.-
#Pages 4
Date of Issue