Open AccessTesting short-term memory and prediction of training success of future drivers
Author(s) -
Газанфар Исламов,
Газанфар Исламов,
Анна Лупоок,
Анна Лупоок,
Екатерина Рак,
Екатерина Рак
Publication year - 2018
Publication title -
èrgodizajn
Language(s) - English
Resource type - Journals
eISSN - 2658-4026
pISSN - 2619-1512
DOI - 10.30987/article_5bbf1291c08d99.63562268
Subject(s) - training (meteorology) , selection (genetic algorithm) , term (time) , computer science , applied psychology , psychology , short term memory , engineering , machine learning , working memory , cognition , neuroscience , physics , quantum mechanics , meteorology
The paper reports the consideration of the problem of ergonomic support of the “Driver-Motor Car-Traffic Situation” system. The factors defining the success in the selection and driver training at driving schools are revealed. A correlation tie between memory properties and training success at driving school is proved empirically.