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The computer, A choreographer? Aesthetic responses to randomly-generated dance choreography by a computer
Is artificial intelligence (AI) changing our culture or creating its own? With advancements in AI and machine learning, artistic creativity is moving to a brave new world of possibility and complexity, while at the same time posing challenging questions, such as what defines something as art, what i...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852657/ https://www.ncbi.nlm.nih.gov/pubmed/36685468 http://dx.doi.org/10.1016/j.heliyon.2022.e12750 |
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author | Darda, Kohinoor M. Cross, Emily S. |
author_facet | Darda, Kohinoor M. Cross, Emily S. |
author_sort | Darda, Kohinoor M. |
collection | PubMed |
description | Is artificial intelligence (AI) changing our culture or creating its own? With advancements in AI and machine learning, artistic creativity is moving to a brave new world of possibility and complexity, while at the same time posing challenging questions, such as what defines something as art, what is the role of human creativity in an automated world, and do we evaluate artificial art in the same way as art made by humans? Across two pre-registered and statistically powered experiments we shed light on the nature of aesthetic responses toward computer-generated art by investigating observer prejudices against computer-generated dance choreography, and the impact of expertise and pre-conceived beliefs about the origin of artistic creation. Our results provide substantive evidence that an explicit bias exists among dance experts against computer-generated choreography. The mere belief about a dance work's origin biases aesthetic responses toward artworks among both dance experts and dance naïve participants. The implications of the current study serve to inform several disciplines across the arts and sciences including but not limited to empirical aesthetics, artificial intelligence, engineering, robotics, and social cognition and neuroscience. Along with physical form and content of artificial agents and art productions, the viewers' knowledge and attitudes toward artistic AI and artificial agents will need to be taken into consideration for effective human—computer/human—AI interactions. |
format | Online Article Text |
id | pubmed-9852657 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98526572023-01-21 The computer, A choreographer? Aesthetic responses to randomly-generated dance choreography by a computer Darda, Kohinoor M. Cross, Emily S. Heliyon Research Article Is artificial intelligence (AI) changing our culture or creating its own? With advancements in AI and machine learning, artistic creativity is moving to a brave new world of possibility and complexity, while at the same time posing challenging questions, such as what defines something as art, what is the role of human creativity in an automated world, and do we evaluate artificial art in the same way as art made by humans? Across two pre-registered and statistically powered experiments we shed light on the nature of aesthetic responses toward computer-generated art by investigating observer prejudices against computer-generated dance choreography, and the impact of expertise and pre-conceived beliefs about the origin of artistic creation. Our results provide substantive evidence that an explicit bias exists among dance experts against computer-generated choreography. The mere belief about a dance work's origin biases aesthetic responses toward artworks among both dance experts and dance naïve participants. The implications of the current study serve to inform several disciplines across the arts and sciences including but not limited to empirical aesthetics, artificial intelligence, engineering, robotics, and social cognition and neuroscience. Along with physical form and content of artificial agents and art productions, the viewers' knowledge and attitudes toward artistic AI and artificial agents will need to be taken into consideration for effective human—computer/human—AI interactions. Elsevier 2022-12-30 /pmc/articles/PMC9852657/ /pubmed/36685468 http://dx.doi.org/10.1016/j.heliyon.2022.e12750 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Darda, Kohinoor M. Cross, Emily S. The computer, A choreographer? Aesthetic responses to randomly-generated dance choreography by a computer |
title | The computer, A choreographer? Aesthetic responses to randomly-generated dance choreography by a computer |
title_full | The computer, A choreographer? Aesthetic responses to randomly-generated dance choreography by a computer |
title_fullStr | The computer, A choreographer? Aesthetic responses to randomly-generated dance choreography by a computer |
title_full_unstemmed | The computer, A choreographer? Aesthetic responses to randomly-generated dance choreography by a computer |
title_short | The computer, A choreographer? Aesthetic responses to randomly-generated dance choreography by a computer |
title_sort | computer, a choreographer? aesthetic responses to randomly-generated dance choreography by a computer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852657/ https://www.ncbi.nlm.nih.gov/pubmed/36685468 http://dx.doi.org/10.1016/j.heliyon.2022.e12750 |
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