AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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Here you can find the complete list of our publications.
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You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2025
Sabir, A.; Hussain, R.; Pedro, A.; Park, C.
Personalized construction safety training system using conversational AI in virtual reality Journal Article
In: Automation in Construction, vol. 175, 2025, ISSN: 09265805 (ISSN).
Abstract | Links | BibTeX | Tags: Construction safety, Construction safety training, Conversational AI, Digital elevation model, Helmet mounted displays, Language Model, Large language model, large language models, Personalized safety training, Personnel training, Safety training, Training Systems, Virtual environments, Virtual Reality, Workers'
@article{sabir_personalized_2025,
title = {Personalized construction safety training system using conversational AI in virtual reality},
author = {A. Sabir and R. Hussain and A. Pedro and C. Park},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105002741042&doi=10.1016%2fj.autcon.2025.106207&partnerID=40&md5=376284339bf10fd5d799cc56c6643d36},
doi = {10.1016/j.autcon.2025.106207},
issn = {09265805 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Automation in Construction},
volume = {175},
abstract = {Training workers in safety protocols is crucial for mitigating job site hazards, yet traditional methods often fall short. This paper explores integrating virtual reality (VR) and large language models (LLMs) into iSafeTrainer, an AI-powered safety training system. The system allows trainees to engage with trade-specific content tailored to their expertise level in a third-person perspective in a non-immersive desktop virtual environment, eliminating the need for head-mounted displays. An experimental study evaluated the system through qualitative, survey-based assessments, focusing on user satisfaction, experience, engagement, guidance, and confidence. Results showed high satisfaction rates (>85 %) among novice users, with improved safety knowledge. Expert users suggested advanced scenarios, highlighting the system's potential for expansion. The modular architecture supports customization across various construction settings, ensuring adaptability for future improvements. © 2024},
keywords = {Construction safety, Construction safety training, Conversational AI, Digital elevation model, Helmet mounted displays, Language Model, Large language model, large language models, Personalized safety training, Personnel training, Safety training, Training Systems, Virtual environments, Virtual Reality, Workers'},
pubstate = {published},
tppubtype = {article}
}
Training workers in safety protocols is crucial for mitigating job site hazards, yet traditional methods often fall short. This paper explores integrating virtual reality (VR) and large language models (LLMs) into iSafeTrainer, an AI-powered safety training system. The system allows trainees to engage with trade-specific content tailored to their expertise level in a third-person perspective in a non-immersive desktop virtual environment, eliminating the need for head-mounted displays. An experimental study evaluated the system through qualitative, survey-based assessments, focusing on user satisfaction, experience, engagement, guidance, and confidence. Results showed high satisfaction rates (>85 %) among novice users, with improved safety knowledge. Expert users suggested advanced scenarios, highlighting the system's potential for expansion. The modular architecture supports customization across various construction settings, ensuring adaptability for future improvements. © 2024
2024
Chan, A.; Liu, J. A.
Board 24: Development of Multi-User-enabled, Interactive, and Responsive Virtual/Augmented Reality-based Laboratory Training System Proceedings Article
In: ASEE Annu. Conf. Expos. Conf. Proc., American Society for Engineering Education, 2024, ISBN: 21535965 (ISSN).
Abstract | Links | BibTeX | Tags: 'current, Augmented Reality, Chemical engineering students, Concentration (process), Cooling towers, Degassing, Hands-on learning, Hydrodesulfurization, Immersive, Large groups, Liquid crystal displays, Multiusers, Nanoreactors, Personnel training, Pilot-scale equipment, Protective equipment, Students, Training Systems, Unit Operations Laboratory
@inproceedings{chan_board_2024,
title = {Board 24: Development of Multi-User-enabled, Interactive, and Responsive Virtual/Augmented Reality-based Laboratory Training System},
author = {A. Chan and J. A. Liu},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202042560&partnerID=40&md5=9b1565ea2dd4336b4cc45594fe4f7900},
isbn = {21535965 (ISSN)},
year = {2024},
date = {2024-01-01},
booktitle = {ASEE Annu. Conf. Expos. Conf. Proc.},
publisher = {American Society for Engineering Education},
abstract = {The Unit Operations Laboratory (UOL) is a place where third-year chemical engineering students can apply their engineering and science concepts on pilot-scale equipment. However, the physical lab is resource-intensive, requiring protective equipment and constant supervision. In addition, due to limited units for large groups of students, students perform experiments according to the rolling program schedule, making alignment with lecture teaching and hands-on learning challenges. The research team focuses on increasing the accessibility of the UOL by using simulation gaming in standard, virtual reality and augmented reality modalities as an educational tool. The "Virtual Unit Ops Lab" application places students in an immersive simulated environment of the physical lab, where they can get practical experiences without the difficulties of an in-person lab by using specialized headsets and controllers, which allows the student to move and interact with various parts of the machine physically. Developed with Unity software, the application serves as a digital twin to an existing lab, which allows for an immersive simulation of the full-scale lab equipment, in addition to enhanced learning features such as the ability to display the current action performed by the user and to provide visual/audio feedback for correct and incorrect actions. The application also supports the use by multiple "players" (i.e., it has the "multiplayer" option), where multiple students can communicate and discuss their current step. As a work in progress, a non-player-character chatbot (generative AI responses) is being developed for existing applications using OpenAI's GPT-3.5, which provides designated information to a student in a conversational manner. Additionally, a supplemental "Augmented Unit Ops Lab" application uses Augmented Reality, which superimposes three-dimensional flow diagrams onto the Heat Exchanger through the view of a phone camera during the in-person labs. © American Society for Engineering Education, 2024.},
keywords = {'current, Augmented Reality, Chemical engineering students, Concentration (process), Cooling towers, Degassing, Hands-on learning, Hydrodesulfurization, Immersive, Large groups, Liquid crystal displays, Multiusers, Nanoreactors, Personnel training, Pilot-scale equipment, Protective equipment, Students, Training Systems, Unit Operations Laboratory},
pubstate = {published},
tppubtype = {inproceedings}
}
The Unit Operations Laboratory (UOL) is a place where third-year chemical engineering students can apply their engineering and science concepts on pilot-scale equipment. However, the physical lab is resource-intensive, requiring protective equipment and constant supervision. In addition, due to limited units for large groups of students, students perform experiments according to the rolling program schedule, making alignment with lecture teaching and hands-on learning challenges. The research team focuses on increasing the accessibility of the UOL by using simulation gaming in standard, virtual reality and augmented reality modalities as an educational tool. The "Virtual Unit Ops Lab" application places students in an immersive simulated environment of the physical lab, where they can get practical experiences without the difficulties of an in-person lab by using specialized headsets and controllers, which allows the student to move and interact with various parts of the machine physically. Developed with Unity software, the application serves as a digital twin to an existing lab, which allows for an immersive simulation of the full-scale lab equipment, in addition to enhanced learning features such as the ability to display the current action performed by the user and to provide visual/audio feedback for correct and incorrect actions. The application also supports the use by multiple "players" (i.e., it has the "multiplayer" option), where multiple students can communicate and discuss their current step. As a work in progress, a non-player-character chatbot (generative AI responses) is being developed for existing applications using OpenAI's GPT-3.5, which provides designated information to a student in a conversational manner. Additionally, a supplemental "Augmented Unit Ops Lab" application uses Augmented Reality, which superimposes three-dimensional flow diagrams onto the Heat Exchanger through the view of a phone camera during the in-person labs. © American Society for Engineering Education, 2024.