Multi-Agent Interactive Game Simulation for Enhancing Child Safety

The proposed multi-agent interactive game simulation combines immersive storytelling with state-of-the-art language models as well as artificial intelligence (AI) characters that will help children to discover the enigmas behind derelict buildings reveal all its mysteries. The simulated personalities provide personalized advice which equips these little explorers with knowledge and security within an exciting virtual environment. Therefore, simulated dialogues between a kid and different characters found inside a dilapidated structure are created using the most advanced language types namely fine-tuned versions of Large Language Model (LLM). In their own unique ways each of the avatars in the game would give accurate direction or encouragement to the child. The design of AI system is put on a server that allows a seamless interaction between the child and virtual characters in real time. Their use of modern technologies empowers children select wisely while remaining secure in urban places. This proposed multi-agent interactive game simulation enhances child safety in derelict buildings by mimicking gameplay.

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Publication Details

Published
2024-10-23
DOI
https://doi.org/10.1109/icssas64001.2024.10760823
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
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article

Multi-Agent Interactive Game Simulation for Enhancing Child Safety

Krishnamurthy Rameshbabu, C. Valliyammai, Keziah Jennie, D Pranav Prshanth
Evacuation and Crowd Dynamics
article

Multi-Agent Interactive Game Simulation for Enhancing Child Safety

Krishnamurthy Rameshbabu, C. Valliyammai, Keziah Jennie, D Pranav Prshanth
article en

Abstract

The proposed multi-agent interactive game simulation combines immersive storytelling with state-of-the-art language models as well as artificial intelligence (AI) characters that will help children to discover the enigmas behind derelict buildings reveal all its mysteries. The simulated personalities provide personalized advice which equips these little explorers with knowledge and security within an exciting virtual environment. Therefore, simulated dialogues between a kid and different characters found inside a dilapidated structure are created using the most advanced language types namely fine-tuned versions of Large Language Model (LLM). In their own unique ways each of the avatars in the game would give accurate direction or encouragement to the child. The design of AI system is put on a server that allows a seamless interaction between the child and virtual characters in real time. Their use of modern technologies empowers children select wisely while remaining secure in urban places. This proposed multi-agent interactive game simulation enhances child safety in derelict buildings by mimicking gameplay.

Anna University, Chennai (IN)
Openalex Percentile: Top 66%
Evacuation and Crowd Dynamics
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