Adaptable Visualization; Scientific Visualization; vol. 13, iss. 2

Adaptable Visualization; Scientific Visualization; vol. 13, iss. 2

التفاصيل البيبلوغرافية
Parent link:Scientific Visualization=Научная визуализация.— , 2009-
vol. 13, iss. 2.— 2021.— [P. 67-78]
المؤلف الرئيسي: Zakharova A. A. Alena Alexandrovna
مؤلف مشترك: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Отделение автоматизации и робототехники
مؤلفون آخرون: Vehter E. V. Eugeniya Viktorovna, Shklyar A. V. Aleksey Viktorovich
الملخص:Заглавие с экрана
The paper suggests an approach to improving the efficiency of visualization tools developed for solving numerous applied problems. It is shown that one of the obstacles in this direction is the discrepancy between the choice of the method of visual representation of the analyzed data and the capabilities of the user using visual analytics tools. As a way to overcome the common errors of visual communication, the transition to adaptable visualization is proposed. The concept of adaptable visualization is based on the semiotic model of visualization and develops the concept of human-machine interaction in the direction of attracting the cognitive capabilities of users to solve visual analytics problems.
اللغة:الإنجليزية
منشور في: 2021
الموضوعات:
электронный ресурс
труды учёных ТПУ
visualization
semiotics
visual communication
data analysis
визуализация
семиотика
визуальная коммуникация
анализ
данные
الوصول للمادة أونلاين:https://doi.org/10.26583/sv.13.2.05
التنسيق: الكتروني فصل الكتاب
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665186

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