Научная визуализация, 2021, том 13, номер 2, страницы 67 - 78, DOI: 10.26583/sv.13.2.05
Adaptable Visualization
Авторы: Alena Zakharova1,A, Evgeniya Vekhter2,B, Aleksey Shklyar3,B
A Institute of Control Sciences of Russian Academy of Sciences
B Tomsk Polytechnic University
1 ORCID: 0000-0003-4221-7710, zaawmail@gmail.com
2 ORCID: 0000-0003-0604-0399, vehter@tpu.ru
3 ORCID: 0000-0003-4442-7420, shklyarav@tpu.ru
Аннотация
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.
Ключевые слова: Visualization, semiotics, visual communication, data analysis.
