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Communication Papers of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS)

Annals of Computer Science and Information Systems, Volume 45

Perception and Emotional Response to AI-Generated Audiovisual Media: The Influence of Content and Context

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DOI: http://dx.doi.org/10.15439/2025F3464

Citation: Communication Papers of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS), M. Bolanowski, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 45, pages 119–125 ()

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Abstract. In a world where artificial intelligence is rapidly reshaping creative industries, AI-generated audiovisual content is no longer a futuristic novelty; it is becoming an integral part of our present reality. This is a significant challenge, as the output produced from text prompts by video generators is becoming difficult to distinguish from footage recorded by humans. A sense of distrust emerges about the potential threats posed by such technology. However, not all AI-generated content is automatically met with disapproval; these videos may provoke strong criticism or, on the opposite, admiration. This leads to a~central question: How do the visual decisions made by algorithms, in combination with the context in which the viewer consumes the content, shape their perception of the video? The study will examine people's opinions on specific features of the films and the context in which they are used, as well as how these factors influence overall reception.

References

  1. ZPAV, Fryderyki 2025 rozdane. Poznaliśmy laureatów w kategoriach muzyki rozrywkowej, 2025. [Online]. Available: https://fryderyki.pl/fryderyki-2025-rozdane-poznalismy-laureatow-w-kategoriach-muzyki-rozrywkowej/
  2. M. Gigoła, Eksperyment jako metoda badania wpływu Visual Merchandisingu na skłonności zakupowe, Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, no. 459, pp. 79–89, 2016. [Online]. https://doi.org/10.15611/pn.2016.459.08
  3. T. Yu, W. Yang, J. Xu, and Y. Pan, “Barriers to Industry Adoption of AI Video Generation Tools: A Study Based on the Perspectives of Video Production Professionals in China,” Applied Sciences, vol. 14, no. 13, pp. 5770–, 2024. https://doi.org/10.3390/app14135770
  4. S. Grassini. Development and validation of the ai attitude scale (aias-4): a brief measure of general attitude toward artificial intelligence. Frontiers in Psychology, Volume 14 - 2023, 2023 https://doi.org/10.3389/fpsyg.2023.1191628
  5. M. Ragot and N. Martin and S. Cojean “AI-generated vs. Human Artworks. A Perception Bias Towards Artificial Intelligence?” CHI ’20: CHI Conference on Human Factors in Computing Systems Honolulu, United States, 2020 https://dx.doi.org/10.1145/3334480.3382892
  6. I. Adeshola and A. Praise Adepoju “The opportunities and challenges of ChatGPT in education” Interactive Learning Environments, Routledge, vol. 32 (10), pp. 6159–6172, 2024, https://doi.org/10.1080/10494820.2023.2253858
  7. Oziembłowski, Maciej and Lesiów, Tomasz and Šabanagić, Cornelia “Metodologia testu chi-kwadrat na przykładzie badań ankietowych dotyczących europejskich serów regionalnych” Engineering Sciences And Technologie, pp. 134-163, 2022, https://doi.org/10.15611/nit.2022.38.09
  8. N. Pellas, “The influence of sociodemographic factors on students’ attitudes toward AI-generated video content creation” Smart Learning Environments, vol. 10, no. 1, pp. 57–20, 2023. Springer Nature Singapore. [Online]. https://doi.org/10.1186/s40561-023-00276-4
  9. V. F. de Andrade Araujo, A. B. Costa, and S. R. Musse, “Evaluating the Uncanny Valley Effect in Dark Colored Skin Virtual Humans” Proc. 2023 36th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 1–6, 2023. https://doi.org/10.1109/SIBGRAPI59091.2023.10347145
  10. M. Mori, K. F. MacDorman, and N. Kageki, “The Uncanny Valley [From the Field]” IEEE Robotics & Automation Magazine, vol. 19, no. 2, pp. 98–100, 2012. https://doi.org/10.1109/MRA.2012.2192811
  11. C. Gerhards and M. Baum, “AI in the Workplace: Who Is Using It and Why? A Look at the Driving Forces Behind Artificial Intelligence in German Companies” Communication Papers of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), vol. 41, pp. 45–52, 2024. https://doi.org/10.15439/2024F2752
  12. Google DeepMind, “SynthID: A Tool to Watermark and Identify Content Generated Through AI,” https://deepmind.google/science/synthid/
  13. Kanał Zero, “GOOGLE VEO 3 – Viralowy trend czy narzędzie dezinformacji?,” YouTube, 2025. https://www.youtube.com/watch?v= Mgx5DVqQaus&t=632s&ab_channel=KanałZero