eShadow LCE: Evolution of a Digital Shadow Theatre Platform to Support Analog Puppet Digitization and Collaboration
DOI:
https://doi.org/10.55630/dipp.2026.16.1Keywords:
Digital Storytelling, Shadow Theatre, Digital Shadow Theatre, eShadow, Creative Learning, InclusionAbstract
Shadow theatre is a culturally significant storytelling tradition that has evolved across centuries, with Greek “Karagiozis” standing out as a prominent example that blends humor, social commentary, and historical reflection. Despite its cultural value, the art form faces decline in the digital age. This is in sharp contrast to its educational potential to foster creativity, collaboration, and cultural awareness. Modern digital technologies offer promising solutions to help revitalize shadow theatre and make it accessible across schools to enable rich learning experiences. This paper presents eShadow LCE, an enhanced digital shadow theatre platform that supports real‑time collaboration, simplified puppet creation through mobile‑based computer vision and AI, and an inclusive methodology for classroom use. Used within the Stories4All Erasmus+ project, eShadow LCE was evaluated during a three‑day teacher training event focused on digital storytelling, empathy, and inclusion. Findings from participant feedback and a standard user experience questionnaire demonstrate the platform’s strong usability and educational value.References
eShadow LCE. (2026). YouTube [YouTube channel]. https://www.youtube.com/@eShadowLCE
Meta AI. (2026). PyTorch. https://pytorch.org/
Google. (2026). Flutter. https://flutter.dev
Hatzigianni, M., Gregoriadis, A., Moumoutzis, N., Christoulakis, M., & Alexiou, V. (2021). Integrating design thinking, digital technologies and the arts to explore peace, war and social justice concepts with young children. In C. Cohrssen and S. Garvis (Eds.), Embedding STEAM in early childhood education and care (pp. 21–40). Palgrave Macmillan. https://doi.org/10.1007/978-3-030-65624-9_2
Hatzigianni, M., Miller, M., & Quiñones, G. (2016). Karagiozis in Australia: Exploring principles of social justice in the arts for young children. International Journal of Education & the Arts, 17(25), 1–20. https://doi.org/10.59236/ijea17n25
Hu, E. J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., & Chen, W. (2021). LoRA: Low-rank adaptation of large language models [Preprint]. arXiv. https://doi.org/10.48550/arXiv.2106.09685
Karagiozis. (2026). In World Encyclopedia of Puppetry Arts. Retrieved April 13, 2026, from https://wepa.unima.org/en/karaghiozis/
Laugwitz, B., Held, T., & Schrepp, M. (2008). Construction and evaluation of a user experience questionnaire. In A. Holzinger (Ed.), HCI and usability for education and work: USAB 2008 (Lecture Notes in Computer Science, Vol. 5298, pp. 63–76). Springer. https://doi.org/10.1007/978-3-540-89350-9_6
Moumoutzis, N., Christoulakis, M., Xanthaki, C., Maragkoudakis, Y., Christodoulakis, S., Paneva-Marinova, D., & Pavlova, L. (2022). eShadow+: Mixed reality storytelling inspired by traditional shadow theatre. In 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (pp. 95–100). IEEE. https://doi.org/10.1109/COMPSAC54236.2022.00022
NVIDIA Corporation. (2026). CUDA Toolkit. https://developer.nvidia.com/cuda-toolkit
Pallets Projects. (2026). Flask: Web development, one drop at a time. https://flask.palletsprojects.com/
Rombach, R., Blattmann, A., Lorenz, D., Esser, P., & Ommer, B. (2022). High-resolution image synthesis with latent diffusion models. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 10684–10695). https://openaccess.thecvf.com/content/CVPR2022/html/Rombach_High-Resolution_Image_Synthesis_With_Latent_Diffusion_Models_CVPR_2022_paper.html
Stories4All. (2026). Stories4All [Project website]. https://www.stories4all.tuc.gr/
Wayang kulit. (2026). In Wikipedia. Retrieved April 13, 2026, from https://en.wikipedia.org/wiki/Wayang_kulit
Zhang, L., Rao, A., & Agrawala, M. (2023). Adding conditional control to text-to-image diffusion models. In 2023 IEEE/CVF International Conference on Computer Vision (ICCV) (pp. 3813–3824). https://doi.org/10.1109/ICCV51070.2023.00355
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