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Carmo, I., Costa, P. & Santana, P. (2024). Boosting children's reading motivation with LLM-generated story crossovers. In Anabela Marto, José Creissac Campos (Ed.), Proceedings of the International Conference on Graphics and Interaction (ICGI). Vila Real: IEEE.

I. Carmo et al.,  "Boosting children's reading motivation with LLM-generated story crossovers", in Proc. of the Int. Conf. on Graphics and Interaction (ICGI), Anabela Marto, José Creissac Campos, Ed., Vila Real, IEEE, 2024

@inproceedings{carmo2024_1782648250119,
	author = "Carmo, I. and Costa, P. and Santana, P.",
	title = "Boosting children's reading motivation with LLM-generated story crossovers",
	booktitle = "Proceedings of the International Conference on Graphics and Interaction (ICGI)",
	year = "2024",
	editor = "Anabela Marto, José Creissac Campos",
	volume = "",
	number = "",
	series = "",
	publisher = "IEEE",
	address = "Vila Real",
	organization = "",
	url = "https://gpcg.pt/icgi2024/"
}

TY  - CPAPER
TI  - Boosting children's reading motivation with LLM-generated story crossovers
T2  - Proceedings of the International Conference on Graphics and Interaction (ICGI)
AU  - Carmo, I.
AU  - Costa, P.
AU  - Santana, P.
PY  - 2024
CY  - Vila Real
UR  - https://gpcg.pt/icgi2024/
AB  - It is widely recognised that reading is essential for children's education. Nevertheless, the hours children should spend reading are increasingly being replaced by hours in front of tablets, phones, or computer screens. To counter this trend, we developed a tool that allows educators to create stories that combine children's interests with literary classics. The goal is to motivate the reading indirectly through children's interests. The tool exploits the generative capabilities of ChatGPT to create compelling crossovers between literature classics and children's interests. The tool was developed under the design participatory paradigm. A user study conducted in Lisbon, Portugal with 20 children shows a positive experience with the tool and an increase in motivation to read the classics after using it. This paper presents the design, development, and evaluation of the tool.
ER  -