A Methodological Approach to Create Interactive Art in Artificial Intelligence

Chen, Weiwen; Shidujaman, Mohammad; Jin, Jiangbo; Ahmed, Salah Uddin

doi:10.1007/978-3-030-60128-7_2

Cited by 16 publications

(9 citation statements)

References 11 publications

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“…There are various methodologies for using AI in art, each with their own unique aesthetic, technical, and social dimensions. Here are some of the main methodologies [8]:…”

Section: Findings Methodologies For Using Ai In Artmentioning

confidence: 99%

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Reflections on the Use of Artificial Intelligence in Works of Art

Yusa¹,

Yu²,

Sovhyra³

2022

JADAM

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Purpose: This paper aims to reflect on the use of Artificial Intelligence (AI) in works of art, examining its impact on the creative process, aesthetics, and audience reception, then provide a critical reflection on the use of AI in works of art, examining its potential benefits and drawbacks and exploring the ethical considerations involved. The paper examines the use of AI in works of art, with a focus on the methodologies and case studies that demonstrate the potential and challenges of this emerging field. Research methods: The paper presents case studies of notable artworks that utilize AI, discusses the potential benefits and drawbacks of AI in art, and explores the ethical considerations involved. Through a review of the literature and analysis of six case studies, we explore the aesthetic, technical, and social dimensions of AI-generated art, as well as the ethical and critical debates surrounding its production and reception. Findings: The paper concludes by emphasizing the importance of critical engagement and continued reflection on the use of AI in art. Our findings suggest that AI can offer new modes of creative expression and engagement, but also raise questions about the role of human agency and interpretation in the artistic process. Implications: AI-generated art offers new opportunities and challenges for artists, scholars, and audiences, and that future research should focus on developing ethical guidelines, exploring collaborative practices, and examining the social and political implications of AI-based art. Case studies of AI-generated art can help us understand the potentials and limitations of this field by providing specific examples of how AI is being used to create art, and how artists and audiences are engaging with these works. These studies can provide insights into the creative processes, technical challenges, and social implications of AI-generated art.

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“…There are various methodologies for using AI in art, each with their own unique aesthetic, technical, and social dimensions. Here are some of the main methodologies [8]:…”

Section: Findings Methodologies For Using Ai In Artmentioning

confidence: 99%

“…Interactive Systems: Interactive systems allow for real-time collaboration between humans and machines, enabling artists to create new artworks that respond to user input [8], [14].…”

Section: Findings Methodologies For Using Ai In Artmentioning

confidence: 99%

Reflections on the Use of Artificial Intelligence in Works of Art

Yusa¹,

Yu²,

Sovhyra³

2022

JADAM

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“…The results show that AI will evolve with time to be implemented very efficiently for graphic designing and will perform various tasks with high accuracy. 16 Chen et al 17 have proposed a study on the active participation of AI in the creation of effective and interactive art creation. A detailed analysis of the association between artists, intelligent robots, and the volunteers in the procedure was presented.…”

Section: Related Workmentioning

confidence: 99%

“…Chen et al 17 have proposed a study on the active participation of AI in the creation of effective and interactive art creation. A detailed analysis of the association between artists, intelligent robots, and the volunteers in the procedure was presented.…”

Section: Related Workmentioning

confidence: 99%

Ranking the art design and applications of artificial intelligence and machine learning

Nazir

2022

J Software Evolu Process

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Art design is a method of conveying human feelings and emotions, particularly via the use of visual structures such as paintings or sketches. Every element of our life, including arts and crafts, has been positively affected by the introduction of novel technologies such as artificial intelligence (AI) and machine learning (ML). In today's modern environment, these technologies have altered the techniques of art creation, consumption, and distribution. In today's environment, ML and human emotions are the two most important aspects for interactive and high‐quality art design. Whereas traditional learning systems can be extremely effective in the teaching and learning process of art‐related subjects, AI and ML can be very effective in the teaching and learning process of art‐related subjects for the advancement of learners' artistic skills. The productive and active role of AI and ML in the developments and advancements of art design has been given a very comprehensive and detailed overview in this study. Following a detailed examination of the existing techniques, distinct characteristics have been identified. Six of the most widely utilized features were chosen from the literature to execute the analytical hierarchy process (AHP). For ranking the options based on the weights derived by AHP, the TOPSIS algorithm is used. The option with the best performance came in first, whereas the one with the worst performance came in last.

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“…Subsequently, shifting this discussion into the context of the current chapter we may view the capacity for creativity, and or, the aesthetic experience generated from interaction with a perceived creative being (object, system) as a pivotal point for creating depth and cultural overall in social interactional design. Chen et al [64] have identified four main ways of viewing robots in creative processes: 1) that of the programmed artist, or main producer of artistic output -still without own intentionality; 2) robots as co-creators -utilizing AI and robotics to go beyond the limits of human cognition and bodily capacity; 3) robots as medium -the robots in themselves serving as the site for art; and 4) robots as human augmentation -creation and representation of the human ideal. Either way, this artbased robot insight provides fruit for thought in relation to the dynamics and discursive contribution robots may play within social interaction.…”

Section: Social Interaction With Computers (And Robots) and Aestheticsmentioning

confidence: 99%

Beauty in Interaction

Rousi¹,

Kolari²,

Shidujaman³

2021

Robotics for Pandemics

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Social machines have held public fascination in one way or another for a good part of the past centuries. From talking cars to singing clocks, humans have delved into the indulgence of possibilities of creating technology that can not only do our deeds but be our friends. Along with the social distancing and lockdowns of the COVID-19 pandemic, the social needs of human beings have become ever more pronounced. Even hugs seem to be a forbidden luxury these days. Robot form has been the main focus of studies in human preference. This chapter delves beneath the skin to understand social robot aesthetics in terms of the building blocks of social interaction and embodied experience. We focus on explaining the rationale and development of a framework of social robot aesthetics (SoRAEs) that connects deep theory to practical design and development action.

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A Methodological Approach to Create Interactive Art in Artificial Intelligence

Cited by 16 publications

References 11 publications

Reflections on the Use of Artificial Intelligence in Works of Art

Reflections on the Use of Artificial Intelligence in Works of Art

Ranking the art design and applications of artificial intelligence and machine learning

Beauty in Interaction

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