Промяна на визуалните възприятия, чрез управление на процеса по създаване на изображения
Changing of visual perception through control of the image generating process

Author(s): Desislava Gramatikova
Subject(s): Economy, Fine Arts / Performing Arts, Photography, ICT Information and Communications Technologies
Published by: Международно висше бизнес училище
Keywords: visual perception; photography; artificial intelligence
Summary/Abstract: Perception and sensation represent together the sensory degree of cognition, or all that we feel, see, recall, think about, and do, where the perception is essential for our subsequent behaviors, reactions and actions, and includes a wide range of psychological occurrences. The study examines how visual perception is influenced by images. Humans have been surrounded by images throughout their evolutionary history, dating back to the first cave wall paintings. As an individual develops, perception alters their beliefs, predispositions and attitudes. Through examining visual perceptions as a subjective phenomenon, we come to differentiate a number of efficient methods based on the various phases of image generation and development: the immediate confidence in the legitimacy of each image following the invention of photography, undermined by its primary features; the subsequent image manipulation techniques on analogue or digital media through further processing and the advent of computer-generated images through Artificial Intelligence (AI) software, with the potential to be quickly and easily distributed. Can we assert that, upon the rise of AI, we will lose all accumulated methods and strategies in order to revolutionize the ways in which we control visual perception? To what extent can we rely on them for perceiving visual information? Could we manage perception with its help in a dynamically- shifting reality? Two case studies written by authors working in the realm of AI-based art are examined in an attempt to provide an answer. Modern artificial intelligence technologies for image generation have largely replaced the traditional techniques which have been studied, documented, and shown to be successful in managing audience perceptions in the past. That being said, these new technologies allow for the conception of a new reality, which raises a continuous stream of new questions with ambiguous answers, and will continue to do so.

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