Adaptable Visualization

Adaptable Visualization

Bibliographic Details
Parent link:Scientific Visualization=Научная визуализация.— , 2009-
vol. 13, iss. 2.— 2021.— [P. 67-78]
Main Author: Zakharova A. A. Alena Alexandrovna
Corporate Author: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Отделение автоматизации и робототехники
Other Authors: Vehter E. V. Eugeniya Viktorovna, Shklyar A. V. Aleksey Viktorovich
Summary: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.
Published: 2021
Subjects:
электронный ресурс
труды учёных ТПУ
visualization
semiotics
visual communication
data analysis
визуализация
семиотика
визуальная коммуникация
анализ
данные
Online Access:https://doi.org/10.26583/sv.13.2.05
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665186

Similar Items

Similar Items