Humanizing NPCs-AI Driven Realistic Conversations and Reactions

This paper introduces a novel framework for developing advanced non-playable characters (NPCs) that utilize artificial intelligence (AI) to achieve realistic interactions in virtual environments made using Unreal Engine. NPCs often rely on defined behaviors and scripted responses, which limit immersion and also give the same experience for every user, but this approach integrates Natural Language Processing (NLP) features and machine learning techniques to create NPCs capable of dynamic, conscious conversations that mimic human interaction to respond with emotional depth and adaptability making the experience unique for every user. By crafting a custom dataset that encapsulates distinct personality traits. Incorporating memory recall allows Non Playable Characters to learn from past interactions, enhancing their ability to provide personalized experiences over time. AI-driven NPCs significantly enhance user immersion by offering unique, evolving interactions tailored to individual players. This research not only advances the field of game development but also lays the framework for creating lifelike digital characters capable of enriching virtual narratives for game plots.

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Publication Details

Published
2025-03-07
DOI
https://doi.org/10.1109/csnt64827.2025.10968614
Primary Topic
AI-based Problem Solving and Planning
Type
article
Field-Weighted Citation Impact
0.00
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article

Humanizing NPCs-AI Driven Realistic Conversations and Reactions

N Kishore, S. V. N. L. Lalitha
AI-based Problem Solving and Planning
article

Humanizing NPCs-AI Driven Realistic Conversations and Reactions

N Kishore, S. V. N. L. Lalitha
article en

Abstract

This paper introduces a novel framework for developing advanced non-playable characters (NPCs) that utilize artificial intelligence (AI) to achieve realistic interactions in virtual environments made using Unreal Engine. NPCs often rely on defined behaviors and scripted responses, which limit immersion and also give the same experience for every user, but this approach integrates Natural Language Processing (NLP) features and machine learning techniques to create NPCs capable of dynamic, conscious conversations that mimic human interaction to respond with emotional depth and adaptability making the experience unique for every user. By crafting a custom dataset that encapsulates distinct personality traits. Incorporating memory recall allows Non Playable Characters to learn from past interactions, enhancing their ability to provide personalized experiences over time. AI-driven NPCs significantly enhance user immersion by offering unique, evolving interactions tailored to individual players. This research not only advances the field of game development but also lays the framework for creating lifelike digital characters capable of enriching virtual narratives for game plots.

Amrita Vishwa Vidyapeetham (IN)
Reduced inequalities
Openalex Percentile: Top 96%
AI-based Problem Solving and Planning
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Humanizing NPCs-AI Driven Realistic Conversations and Reactions — N Kishore, S. V. N. L. Lalitha · (2025) | TGRS Research Map | TGRS