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A cognitive type training model whose speed advancement is derived from those of component tasks
Author(s) -
Ono Yoshihiko,
Yamada Hisao
Publication year - 1990
Publication title -
behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 0005-7940
DOI - 10.1002/bs.3830350401
Subject(s) - character (mathematics) , computer science , code (set theory) , term (time) , keystroke logging , component (thermodynamics) , power (physics) , short term memory , training (meteorology) , arithmetic , cognition , speech recognition , artificial intelligence , working memory , programming language , psychology , computer security , mathematics , geometry , set (abstract data type) , quantum mechanics , neuroscience , thermodynamics , meteorology , physics
A power‐law model for simulating advancement of typing speed is discussed in this article. Through a long‐term training experiment of a coded typing for inputting Japanese, some new properties have been found through the analysis of the training records of many subjects. The major one is that every practice time to complete each drill, which is a segment of practice, statistically satisfies a power law. A few versions of the model succeed in simulating this phenomenon, if they assume that advancement of strokes for every character satisfies a power law. However, they fail in detailing the initial records. An extended version further including a power‐law advancement of recalling codes and a temporary memory holding a few codes succeeds in detailing them only when the temporary memory size is 2. This number agrees with the well‐known one, or the number of chunks to be held in the short‐term memory, unless one character code requires four chunks as a pair of two coordinates on a keyboard. Some keystroke timing data supporting the model are observed in another training system.