Abstract
We present an interface for creating art using tools from artificial intelligence and artificial life. The interface is tested and validated, through an online experiment with the aim of investigating how AI algorithms can be used for enabling humans - able or disabled - to express their artistic creativity. The interface uses evolutionary algorithms to generate images and videos of life-like patterns of pixels, based on rules describing local updates for cellular automata. Participants were asked to select a sequence of rules, either randomly generated (control group) or assisted by an interactive evolutionary algorithm which takes into account the participant’s previous choices (test group). Our results show a significantly higher satisfaction of the test group with a significance level of \(95\%\) and a power of \(82\%\). Finally, we also discuss the usefulness of such an interface for people with disabilities and limitations.
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References
Ascott, R.: Telenoia: art in the age of artificial life. Leonardo 26(3), 176–177 (1993)
Bergaust, K., Nichele, S.: FeLT-The Futures of Living Technologies (2019)
Berlekamp, E.R., Conway, J.H., Guy, R.K.: Winning ways for your mathematical plays, volume 4. AK Peters/CRC Press (2004)
Chan, B.W.-C.: Lenia and expanded universe. arXiv preprint (2020). arXiv:2005.03742
Darwin, C., a.O.: On the origin of species by means of natural selection or the preservation of favoured races in the struggle for life, vol. 2. Books, Incorporated, Pub. (1859)
Dorin, A.: Biological bits. A Brief Guide to the Ideas and Artefacts of Computational Artificial Life. Animaland, Melbourne (2014)
Heaton, J.: Evolving continuous cellular automata for aesthetic objectives. Genet. Program Evolvable Mach. 20(1), 93–125 (2018). https://doi.org/10.1007/s10710-018-9336-1
Langton, C.G.: Studying artificial life with cellular automata. Physica D 221–3, 120–149 (1986)
Mordvintsev, A., Randazzo, E., Niklasson, E., Levin, M.: Growing neural cellular automata. Distill 5(2), e23 (2020)
Nichele, S., Ose, M.B., Risi, S., Tufte, G.: Ca-neat: evolved compositional pattern producing networks for cellular automata morphogenesis and replication. IEEE Trans. Cognitive Developmental Syst. 10(3), 687–700 (2017)
Rinaldo, K.: Artificial life art. Leonardo 31(5), 370–370 (1998)
Schellenberg, F., Gnad, D.R., Moradi, A., Tahoori, M.B.: An inside job: Remote power analysis attacks on fpgas. IEEE Design & Test (2021)
Variengien, A., Nichele, S., Glover, T., Pontes-Filho, S.: Towards self-organized control: using neural cellular automata to robustly control a cart-pole agent (2021). arXiv preprint arXiv:2106.15240
Whitelaw, M.: Metacreation: art and artificial life. Mit Press (2004)
Acknowledgements
Authors acknowledge all students and employees at Oslo Metropolitan University, who participated in the experiment. GD thanks the Department of Computer Science of OsloMet for financial support. This project was done in collaboration with the project FELT - Futures of Living Technologies (Bergaust and Nichele 2019), funded by the Norwegian Artistic Research Programme, DIKU.
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Dumo, G., Lind, P.G., Nichele, S. (2022). An HCI Experiment to Explore Interactive Artificial Life Art. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2022 Posters. HCII 2022. Communications in Computer and Information Science, vol 1582. Springer, Cham. https://doi.org/10.1007/978-3-031-06391-6_27
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DOI: https://doi.org/10.1007/978-3-031-06391-6_27
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