| Autor: |
Kharchenko Vyacheslav S, Mariia Danova, Igor Shostak, Elena Golembovska, Olena Feoktystova |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
DESSERT |
| DOI: |
10.1109/dessert50317.2020.9125014 |
| Popis: |
The materials of this research are devoted to implementation of the main aspects of the problem, in particular, the analysis of the perception by visitors group of abstract visual objects of modern art with elements of augmented reality. This aspect is associated with the need to take into account the perception of the artefact by a group of visitors with a view to its subsequent transformation in new paintings or understanding of visitors. The approach to assessing the perception of abstract paintings with elements of augmented reality is described. The application of a special clustering method within the framework of the approach is substantiated, which allows reducing the variety of estimates in the formation of the initial data for the verbal semantic differential method (MSD). Application of the approach will make it possible to implement the triad "MSD — technology of collective expert assessment — ontological engineering" will serve as a methodological basis for developing an IoT-system in the form of an intellectual agency, for automatically changing the digital visual object of modern art with augmented reality, in accordance with its reflection in the mass consciousness of the visitors. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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