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[INDRA] Interactive Deep-dreaming Robotic Artist: Perceived artistic agency when collaborating with Embodied AI

Published: 02 December 2024 Publication History

Abstract

AI art generators such as DALL-E and MidJourney create artwork after man-made art styles in seconds, leveraging developments in machine learning. Traditional art, such as painting and sculpture, has long been a cornerstone of cultural expression. Human value-centered design considerations are essential when implementing AI for traditional artists, balancing automation and meaningful human control levels to produce a positive sense of creation.
This research explores artistic agency in human-computer collaborative painting through embodied AI. We present INDRA, an Interactive Deep-Dreaming Robotic Artist to enhance fine art capabilities and assist users dynamically. INDRA is designed to be an artist-friendly AI agent inspired to improve the relationship between AI and creatives.

References

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S.H. Kenyon. 2006. Behavioral software agents for real-time games. IEEE Potentials 25, 4 (2006), 19–25.
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Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen. 2022. GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models. arxiv:https://arXiv.org/abs/2112.10741
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Peter Schaldenbrand, Gaurav Parmar, Jun-Yan Zhu, James McCann, and Jean Oh. 2024. CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting. arxiv:https://arXiv.org/abs/2402.13442
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Adam Tapal, Ela Oren, Reuven Dar, and Baruch Eitam. 2017. The Sense of Agency Scale: A Measure of Consciously Perceived Control over One’s Mind, Body, and the Immediate Environment. Frontiers in Psychology 8 (2017).
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Christian Then, Erickar Soewandi, Muhammad Danial, Said Achmad, and Rhio Sutoyo. 2023. The Impact of Artificial Intelligence on Art - A Systematic Literature Review. 1–7.

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  1. [INDRA] Interactive Deep-dreaming Robotic Artist: Perceived artistic agency when collaborating with Embodied AI

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      cover image ACM Conferences
      SA '24: SIGGRAPH Asia 2024 Posters
      December 2024
      260 pages
      ISBN:9798400711381
      DOI:10.1145/3681756
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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      Publication History

      Published: 02 December 2024

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      Author Tags

      1. Embodied interaction
      2. robotics
      3. traditional painting
      4. artistic agency

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      SA '24
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      SA '24: SIGGRAPH Asia 2024 Posters
      December 3 - 6, 2024
      Tokyo, Japan

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      Overall Acceptance Rate 178 of 869 submissions, 20%

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