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Costa, C., Aparicio, M. & Joao Tiago Aparicio (2025). Gamifying Human-AI Interaction: Using Large Language Models for Enhanced Engagement and Learning. In 2025 IEEE 5th International Conference on Human-Machine Systems (ICHMS). (pp. 325-331). Abu Dhabi, United Arab Emirates: IEEE.

C. M. Costa et al.,  "Gamifying Human-AI Interaction: Using Large Language Models for Enhanced Engagement and Learning", in 2025 IEEE 5th Int. Conf. on Human-Machine Systems (ICHMS), Abu Dhabi, United Arab Emirates, IEEE, 2025, pp. 325-331

@inproceedings{costa2025_1764921074710,
	author = "Costa, C. and Aparicio, M. and Joao Tiago Aparicio",
	title = "Gamifying Human-AI Interaction: Using Large Language Models for Enhanced Engagement and Learning",
	booktitle = "2025 IEEE 5th International Conference on Human-Machine Systems (ICHMS)",
	year = "2025",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/ICHMS65439.2025.11154284",
	pages = "325-331",
	publisher = "IEEE",
	address = "Abu Dhabi, United Arab Emirates",
	organization = ""
}

TY  - CPAPER
TI  - Gamifying Human-AI Interaction: Using Large Language Models for Enhanced Engagement and Learning
T2  - 2025 IEEE 5th International Conference on Human-Machine Systems (ICHMS)
AU  - Costa, C.
AU  - Aparicio, M.
AU  - Joao Tiago Aparicio
PY  - 2025
SP  - 325-331
DO  - 10.1109/ICHMS65439.2025.11154284
CY  - Abu Dhabi, United Arab Emirates
AB  - This study investigates the synergy between gamification and large language models (LLMs) with human-AI interaction. Motivated by the need to enhance user engagement and learning outcomes, the research addresses how gamification principles can improve the design of LLM-powered systems. This work proposes a framework integrating game mechanics such as narrative-driven interactions, adaptive challenges, personalized feedback, and collaborative problem-solving into LLM applications. Using a mixed-method approach combining conceptual analysis and software prototyping, we illustrate how gamified LLMs enhance motivation, foster trust, and improve performance in diverse contexts, including education, research, and therapy. The findings accentuate the transformative potential of gamification in human-AI collaboration, with implications for designing more intuitive and effective systems.
ER  -