Communication between Interactive Virtual Characters and AI-Powered Language Learning Application

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dc.contributor.authorBeytekin, Musa
dc.contributor.authorOztemiz, Furkan
dc.date.accessioned2026-04-04T13:18:59Z
dc.date.available2026-04-04T13:18:59Z
dc.date.issued2025
dc.departmentİnönü Üniversitesi
dc.description9th International Artificial Intelligence and Data Processing Symposium, IDAP 2025 -- 6 September 2025 through 7 September 2025 -- Malatya -- 215321
dc.description.abstractArtificial Intelligence(AI)-based technologies offerthe potential to transform language learning processes. How ever, there is a notablegap in the current literature regardinglanguage learning systems where users simultaneously interactwith multipleAI characters. This research conducts a comprehensive literature review analyzing existing conversational AIs,LangChain/LangGraph frameworks, and multi-character interaction systems. To address these gaps, a hybrid language learning platform development approach is proposed where userscan engage in context-sensitiveand consistent dialogues with multiple artificial intelligence characters simultaneously. In the experimental part, emotion analysis performances of five different large language models were comparatively evaluated foroptimal model selection. Test results revealed that O1 seriesmodels showed superior performance especially in negative-emotions (95-98%), while all models struggled with complexemotional state analysis (54-61%). The main contribution isaddressing the multi-character interaction gap in literatureand providing an empirical foundation for data-driven modelselection in hybrid systems. © 2025 IEEE.
dc.identifier.doi10.1109/IDAP68205.2025.11222226
dc.identifier.isbn979-833158990-5
dc.identifier.scopus2-s2.0-105025035512
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/IDAP68205.2025.11222226
dc.identifier.urihttps://hdl.handle.net/11616/108069
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof9th International Artificial Intelligence and Data Processing Symposium, IDAP 2025
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250329
dc.subjectConversational AI
dc.subjectLangChain
dc.subjectLangGraph
dc.subjectLanguage learning
dc.subjectMulti-character interaction
dc.subjectVirtual characters
dc.titleCommunication between Interactive Virtual Characters and AI-Powered Language Learning Application
dc.title.alternativeEtkileşimli Sanal Karakterler ile Yapay ZekaDestekli Dil Öǧrenme Uygulamasi Arasindaki Iletişim]
dc.typeConference Object

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