Presentation 2005/11/12
Some properties of human-generated random sequences : how they depend on symbol types and generation methods
HiroFumi YANAI, Takao MORI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) We gathered and analyzed random sequences of symbols generated by human subjects. We focused on the types of symbols (the ten digits or a subset of size ten of Japanese Kana, i.e. Japanese alphabet), and on the types of generation methods (oral calling out or keyboard pressing). For the frequencies of Japanese Kana, we observed strong dependence on the Kana's canonical position on the Japanese Kana diagram. Whereas for the digits, the distribution was almost flat. We should note that the Japanese Kana's occurence frequencies in everyday communication are almost decreasing with the canonical position of the standard Japanese Kana diagram. For the methods of generation, we found that the subjects preferred central keys of the linearly aligned keyboard, whereas they reported no such preferences.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) random number generation / Japanese Kana / fatigue / embodiment
Paper # NLP2005-71,NC2005-63
Date of Issue

Conference Information
Committee NC
Conference Date 2005/11/12(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Neurocomputing (NC)
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 : how they depend on symbol types and generation methods
Sub Title (in English)
Keyword(1) random number generation
Keyword(2) Japanese Kana
Keyword(3) fatigue
Keyword(4) embodiment
1st Author's Name HiroFumi YANAI
1st Author's Affiliation Ibaraki University, Department of Media and Telecommunications()
2nd Author's Name Takao MORI
2nd Author's Affiliation Ibaraki University, Department of Media and Telecommunications
Date 2005/11/12
Paper # NLP2005-71,NC2005-63
Volume (vol) vol.105
Number (no) 419
Page pp.pp.-
#Pages 6
Date of Issue