A Study of Communication in Turning “Poetry” into “Painting”

Gao, Ya-Juan; Chen, Li-Yu; Lee, Sandy; Lin, Rungtai; Jin, Yige

doi:10.1007/978-3-319-57931-3_4

Cited by 9 publications

(7 citation statements)

References 5 publications

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“…During the creative process of AI art, the artists choose AI algorithms according to their intentions for creating the artwork, and audience acceptance is a critical defining step in deciding whether it is "art" [36]. Studying the process of art perception can help build a bridge between artists and the audience [37,38].…”

Section: Communication Between Artists and Audiencesmentioning

confidence: 99%

Communication in Human–AI Co-Creation: Perceptual Analysis of Paintings Generated by Text-to-Image System

et al. 2022

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In recent years, art creation using artificial intelligence (AI) has started to become a mainstream phenomenon. One of the latest applications of AI is to generate visual artwork from natural language descriptions where anyone can interact with it to create thousands of artistic images with minimal effort, which provokes the questions: what is the essence of artistic creation, and who can create art in this era? Considering that, in this study, the theoretical communication framework was adopted to investigate the difference in the interaction with the text-to-image system between artists and nonartists. In this experiment, ten artists and ten nonartists were invited to co-create with Midjourney. Their actions and reflections were recorded, and two sets of generated images were collected for the visual question-answering task, with a painting created by the artist as a reference sample. A total of forty-two subjects with artistic backgrounds participated in the evaluated experiment. The results indicated differences between the two groups in their creation actions and their attitude toward AI, while the technology blurred the difference in the perception of the results caused by the creator’s artistic experience. In addition, attention should be paid to communication on the effectiveness level for a better perception of the artistic value.

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Section: Communication Between Artists and Audiencesmentioning

confidence: 99%

Communication in Human–AI Co-Creation: Perceptual Analysis of Paintings Generated by Text-to-Image System

et al. 2022

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“…In the creative process of AI-Art, the artists choose AI algorithms according to their intentions for creating the artwork, and audience acceptance is a critical defining step to decide whether it is "art" [42]. Studying the factors that affect artistic cognition from the perspective of the audience can help build a bridge between artists and the audience [43,44].…”

Section: Communication Between Audience and Artworkmentioning

confidence: 99%

“…Based on previous studies [29,30,39,43,44], the artwork can be evaluated from technical, semantic, and effectiveness levels. The technical level focus on the visual elements.…”

Section: Stimulimentioning

confidence: 99%

The Cognition of Audience to Artistic Style Transfer

Lyu

Lin

et al. 2021

Applied Sciences

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Artificial Intelligence (AI) is becoming more popular in various fields, including the area of art creation. Advances in AI technology bring new opportunities and challenges in the creation, experience, and appreciation of art. The neural style transfer (NST) realizes the intelligent conversion of any artistic style using neural networks. However, the artistic style is the product of cognition that involving from visual to feel. The purpose of this paper is to study factors affecting audience cognitive difference and preference on artistic style transfer. Those factors are discussed to investigate the application of the AI generator model in art creation. Therefore, based on the artist’s encoding attributes (color, stroke, texture) and the audience’s decoding cognitive levels (technical, semantic, effectiveness), this study proposed a framework to evaluate artistic style transfer in the perspective of cognition. Thirty-one subjects with a background in art, aesthetics, and design were recruited to participate in the experiment. The experimental process consists of four style groups, including Fauvism, Expressionism, Cubism, and Renaissance. According to the finding in this study, participants can still recognize different artistic styles after transferred by neural networks. Besides, the features of texture and stroke are more impact on the perception of fitness than color. The audience may prefer the samples with high cognition in the semantic and effectiveness levels. The above indicates that through AI automated routine work, the cognition of the audience to artistic style still can be kept and transferred.

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“…For the cognitive evaluation of artwork, a corresponding research framework has been introduced to describe the emotional response of poems conveyed through paintings and the cognition of those visual scenes [29,30]. In addition, these research frameworks have proved effective in converting poems to paintings [31]. Lin et al [32] combined communication theory and mental models along with the cognitive theory of communication studies to construct a research framework for evaluating film and television, as shown in Figure 1.…”

Section: Literature Reviewmentioning

confidence: 99%

Empirical Study of Communication of Audience Cognition of Environmental Awareness

Gao

Tsai

et al. 2018

Sustainability

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Environmental protection is a vital issue nowadays. Many scholars typically focused on the social aspects of it in their research. For the practical implementation of environmental protection, raising environmental awareness is crucial. With the rapid development of digital media, animation is now used to effectively convey this issue of concern. This study employed qualitative and quantitative methods to explore the effects of viewers' esthetic experiences and preferences for an original environmental protection-themed sand animation in order to understand cognitive differences between viewers regarding film and television. We selected critical social issues and a popular sand animation for this study. Analyzing the cognitive differences and preferences of the viewers, we identified key factors that attract viewers. The findings were as follows: (1) People gain clear cognition of the environmental protection theme from the sand animation. (2) Innovative perspectives gain recognition more easily.(3) Propagation of environmental awareness to audiences is possible through fiction. (4) Age and professional background cause differences in cognition of film by audience. (5) Different elements of film have different effects on creative intensity and cultural depth.

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A Study of Communication in Turning “Poetry” into “Painting”

Cited by 9 publications

References 5 publications

Communication in Human–AI Co-Creation: Perceptual Analysis of Paintings Generated by Text-to-Image System

Communication in Human–AI Co-Creation: Perceptual Analysis of Paintings Generated by Text-to-Image System

The Cognition of Audience to Artistic Style Transfer

Empirical Study of Communication of Audience Cognition of Environmental Awareness

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