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Title:Razvoj čustvene inteligence pri neigrivih likih v videoigrah s pomočjo nevronskih mrež : diplomsko delo
Authors:ID Vrhovnik, Marko (Author)
ID Kolmanič, Simon (Mentor) More about this mentor... New window
Files:.pdf VS_Vrhovnik_Marko_2025.pdf (1,30 MB)
MD5: 088656FCD18656608A3FC5BF56E8CE17
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu je opisana implementacija modela za zaznavanje čustvenega tona v besedilu z uporabo nevronskih mrež. Glavni cilj dela je bil implementirati model umetne inteligence, ki razlikuje med pozitivnimi in negativnimi čustvi, ter ga integrirati v videoigro. Po končanem učenju je bil model uvožen v razvojno orodje Unity. Razvita igra simulira interakcijo med dvema likoma, njen cilj pa je demonstracija uporabe modela umetne inteligence in preverjanje, kako učinkoviti so takšni modeli pri uporabi v videoigrah. Igralec skozi igro odgovarja na vprašanja, cilj pa je odgovoriti na način, pri katerem bo model čustva v odgovoru napovedal kot pozitivna.
Keywords:umetna inteligenca, nevronske mreže, naravna obdelava jezika, Unity, razvoj iger, čustva
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[M. Vrhovnik]
Year of publishing:2025
Number of pages:1 spletni vir (1 datoteka PDF (X, 59 str.))
PID:20.500.12556/DKUM-95415 New window
UDC:004.8(043.2)
COBISS.SI-ID:261677827 New window
Publication date in DKUM:15.10.2025
Views:137
Downloads:28
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:17.09.2025

Secondary language

Language:English
Title:Development of emotional intelligence in non-playable characters in video games using neural networks
Abstract:The thesis describes the implementation of a model for detecting the emotional tone in text using neural networks. The main goal of the work was to implement an artificial intelligence model that distinguishes between positive and negative emotions and integrate it into a video game. After training, the model was imported into the Unity development environment. The developed game simulates an interaction between two characters, with the aim of demonstrating the use of the artificial intelligence model and testing how effective such models are in video games. Throughout the game, the player answers questions, with the goal of responding in a way that the model predicts the emotion as positive.
Keywords:artificial intelligence, neural networks, natural language processing, Unity, game development, emotions


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