AHCI RESEARCH GROUP

Publications

Papers published in international journals,
proceedings of conferences, workshops and books.

OUR RESEARCH

Scientific Publications

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2025

Saengthongkam, S.; Ali, S.; Chokphantavee, S.; Chokphantavee, S.; Noisri, S.; Vanichchanunt, P.; Butcharoen, S.; Boontevee, S.; Phanomchoeng, G.; Deepaisarn, S.; Wuttisittikulkij, L.

AI-Powered Virtual Assistants in the Metaverse: Leveraging Retrieval-Augmented Generation for Smarter Interactions Proceedings Article

In: Institute of Electrical and Electronics Engineers Inc., 2025, ISBN: 9798331522230 (ISBN).

Abstract | Links | BibTeX | Tags: AI, Artificial intelligence, chatbot, Chatbots, Cosine similarity, Intelligent Agents, Load testing, Metaverse, Metaverses, On the spots, Performance, Search engines, Similarity scores, user experience, User query, User support, Users' satisfactions, Virtual assistants, Virtual Reality

@inproceedings{saengthongkam_ai-powered_2025,

title = {AI-Powered Virtual Assistants in the Metaverse: Leveraging Retrieval-Augmented Generation for Smarter Interactions},

author = {S. Saengthongkam and S. Ali and S. Chokphantavee and S. Chokphantavee and S. Noisri and P. Vanichchanunt and S. Butcharoen and S. Boontevee and G. Phanomchoeng and S. Deepaisarn and L. Wuttisittikulkij},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105014379689&doi=10.1109%2FECTI-CON64996.2025.11101141&partnerID=40&md5=3f81fb234377399184ad031c8aa65333},

doi = {10.1109/ECTI-CON64996.2025.11101141},

isbn = {9798331522230 (ISBN)},

year  = {2025},

date = {2025-01-01},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {The metaverse has evolved at an unprecedented pace, creating new demands for on the spot user support and more engaging digital encounters. This paper describes a chatbot system built for the NT metaverse that combines retrieval-based search with advanced generative AI methods to provide accurate, context-driven responses. At the core of our approach is Retrieval Augmented Generation (RAG), which adeptly interprets diverse user queries while sustaining high performance under concurrent usage, as evidenced by a cosine similarity score of 0.79. In addition to maintaining efficiency during load testing, the system manages compound queries with ease, enhancing user satisfaction in complex virtual environments. Although these results are promising, future upgrades such as integrating voice-based interactions, multilingual support, and adaptive learning could further expand the chatbot's utility. Overall, this study demonstrates the tangible benefits of AI-driven conversational agents in digital realms, laying the groundwork for richer, more intelligent user experiences in emerging metaverse platforms. © 2025 Elsevier B.V., All rights reserved.},

keywords = {AI, Artificial intelligence, chatbot, Chatbots, Cosine similarity, Intelligent Agents, Load testing, Metaverse, Metaverses, On the spots, Performance, Search engines, Similarity scores, user experience, User query, User support, Users' satisfactions, Virtual assistants, Virtual Reality},

pubstate = {published},

tppubtype = {inproceedings}

}

2024

Lee, L. -K.; Chan, E. H.; Tong, K. K. -L.; Wong, N. K. -H.; Wu, B. S. -Y.; Fung, Y. -C.; Fong, E. K. S.; U, U.; Wu, N. -I.

Utilizing Virtual Reality and Generative AI Chatbot for Job Interview Simulations Proceedings Article

In: Chui, K. T.; Hui, Y. K.; Yang, D.; Lee, L. -K.; Wong, L. -P.; Reynolds, B. L. (Ed.): Proc. - Int. Symp. Educ. Technol., ISET, pp. 209–212, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 9798350361414 (ISBN).

Abstract | Links | BibTeX | Tags: chatbot, Chatbots, Computer interaction, Computer simulation languages, Generative adversarial networks, Generative AI, Hong-kong, Human computer interaction, ITS applications, Job interview simulation, Job interviews, Performance, Science graduates, User friendliness, Virtual environments, Virtual Reality

@inproceedings{lee_utilizing_2024,

title = {Utilizing Virtual Reality and Generative AI Chatbot for Job Interview Simulations},

author = {L. -K. Lee and E. H. Chan and K. K. -L. Tong and N. K. -H. Wong and B. S. -Y. Wu and Y. -C. Fung and E. K. S. Fong and U. U and N. -I. Wu},

editor = {K. T. Chui and Y. K. Hui and D. Yang and L. -K. Lee and L. -P. Wong and B. L. Reynolds},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206582338&doi=10.1109%2FISET61814.2024.00048&partnerID=40&md5=c099b8565f348c8bf250c0a9e62cf864},

doi = {10.1109/ISET61814.2024.00048},

isbn = {9798350361414 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {Proc. - Int. Symp. Educ. Technol., ISET},

pages = {209–212},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Stress and anxiety experienced by interviewees, particularly fresh graduates, would significantly impact their performance in job interviews. Due to the increased affordability and user-friendliness of virtual reality (VR), VR has seen a surge in its application within the educational sector. This paper presents the design and implementation of a job interview simulation system, leveraging VR and a generative AI chatbot to provide an immersive environment for computer science graduates in Hong Kong. The system aims to help graduates practice and familiarize themselves with various real-world scenarios of a job interview in English, Mandarin, and Cantonese, tailored to the unique language requirements of Hong Kong's professional environment. The system comprises three core modules: a mock question and answer reading module, an AI speech analysis module, and a virtual interview module facilitated by the generative AI chatbot, ChatGPT. We anticipate that the proposed simulator will provide valuable insights to education practitioners on utilizing VR and generative AI for job interview training, extending beyond computer science graduates. © 2024 Elsevier B.V., All rights reserved.},

keywords = {chatbot, Chatbots, Computer interaction, Computer simulation languages, Generative adversarial networks, Generative AI, Hong-kong, Human computer interaction, ITS applications, Job interview simulation, Job interviews, Performance, Science graduates, User friendliness, Virtual environments, Virtual Reality},

pubstate = {published},

tppubtype = {inproceedings}

}