Communication Between Artist and Audience: A Case Study of Creation Journey

Gao, Ya-Juan; Wu, Jiede; Lee, Sandy; Lin, Rungtai

doi:10.1007/978-3-030-22580-3_3

Cited by 10 publications

(8 citation statements)

References 20 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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“…Artists' creativity is often described as a manifestation of their pursuit of beauty, characterized by a complementary process through which connotations are experienced through form; the connotations enrich the form [13]. Form (style) and connotation (concept) complement one another in the process of artistic creation.…”

Section: Dissemination and Cognition Of Artistic Creationmentioning

confidence: 99%

Inheritance of Traditional Family Values: A Comparative Study of Family Ancestral Shrines and Related Paintings of Lee Family

Sun

Cao

et al. 2022

Sustainability

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Apart from providing a haven, a home serves also as a place where people can develop their personalities and temperaments. Traditions within families are an often-unseen force that has a profound effect on people. In this article, the authors explore the meaning and value of family traditional inheritance in the current context and what manifestations may occur. After reviewing the history and characteristics of ancestral shrines, this study further examined the forms of expression used to express “home” and “family traditions” from the creator’s perspective. A conceptual framework is provided for subsequent case studies. Considering the role and importance of different creations in the transmitting of family traditions, a family memorial hall named “Qiyun Residence” and a series of paintings called “Home: Sweet Home” were created by members of this family to analyze and interpret family traditions. The importance of family traditions cannot be overstated, but they must be appropriately expressed. It is our aim that the examples presented in this article show how “Traditional” can be transferred to “Modernity” for the sustainability of culture.

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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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Communication Between Artist and Audience: A Case Study of Creation Journey

Cited by 10 publications

References 20 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

Inheritance of Traditional Family Values: A Comparative Study of Family Ancestral Shrines and Related Paintings of Lee Family

The Cognition of Audience to Artistic Style Transfer

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