Aqsa Sabir, M.Sc.
Short Bio
Research Scientist
Faculty of Computer Science
Otto-von-Guericke University Magdeburg
Research Interests
Virtual/Augmented Reality for Education and Training
Conversational AI for Interactive Learning
Publications
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, pp. 106207, 2025.
@article{Sabir2025,
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://doi.org/10.1016/j.autcon.2025.106207},
doi = {10.1016/j.autcon.2025.106207},
year = {2025},
date = {2025-07-01},
urldate = {2025-07-01},
journal = {Automation in Construction},
volume = {175},
pages = {106207},
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.},
keywords = {},
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
Sabir, A; Hussain, R; Zaidi, SFA; Abbas, MS; Khan, N; Lee, DY; Park, C
Korea Institute of Construction Engineering and Management (한국건설관리학회) 2024, ISSN: 2508-9048(eISSN).
@conference{Sabir2024b,
title = {Integrating conversational AI-based serious games to enhance problem-solving skills of construction students},
author = {A Sabir and R Hussain and SFA Zaidi and MS Abbas and N Khan and DY Lee and C Park},
url = {https://doi.org/10.6106/ICCEPM.2024.1220},
doi = {10.6106/ICCEPM.2024.1220},
issn = { 2508-9048(eISSN)},
year = {2024},
date = {2024-08-29},
pages = {1220-1229},
organization = {Korea Institute of Construction Engineering and Management (한국건설관리학회)},
abstract = {In the construction industry, professionals are required to have advanced problem-solving skills to adeptly handle the dynamic challenges inherent to project execution. These skills are crucial, as they enable professionals to effectively navigate the complexities and unpredictability of construction projects, ensuring timely and cost-effective completion. This paper explores an innovative approach to enhance the problem-solving skills of construction students through the integration of conversational AI-based serious games into their educational curriculum. The objective of this research was acquired by following three phases: hazard interaction, problem identification, and AI-guided text-based communication. This approach creates an engaging learning environment, simulating real-world construction challenges and problems, focusing on the excavation phase of a construction project as a case study for students to interact with and communicate with the Conversational AI agent through text-based prompts. In the future, the proposed study can be used to evaluate how AI agents can help enhance problem-solving skills by promoting emotional engagement among participants. This research sheds light on the potential of integrating conversational AI in education, providing valuable insights for educators designing construction management training programs by underscoring the importance of engagement in real-world problem-solving scenarios.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
In the construction industry, professionals are required to have advanced problem-solving skills to adeptly handle the dynamic challenges inherent to project execution. These skills are crucial, as they enable professionals to effectively navigate the complexities and unpredictability of construction projects, ensuring timely and cost-effective completion. This paper explores an innovative approach to enhance the problem-solving skills of construction students through the integration of conversational AI-based serious games into their educational curriculum. The objective of this research was acquired by following three phases: hazard interaction, problem identification, and AI-guided text-based communication. This approach creates an engaging learning environment, simulating real-world construction challenges and problems, focusing on the excavation phase of a construction project as a case study for students to interact with and communicate with the Conversational AI agent through text-based prompts. In the future, the proposed study can be used to evaluate how AI agents can help enhance problem-solving skills by promoting emotional engagement among participants. This research sheds light on the potential of integrating conversational AI in education, providing valuable insights for educators designing construction management training programs by underscoring the importance of engagement in real-world problem-solving scenarios.
Sabir, A; Hussain, R; Lee, DY; Zaidi, SF; Pedro, A; Abbas, MS; Park, C
Conversational AI-based VR system to improve construction safety training of migrant workers Journal Article
In: Automation in Construction, vol. 160, iss. 0926-5805, pp. 105315, 2024.
@article{Sabir2024,
title = {Conversational AI-based VR system to improve construction safety training of migrant workers},
author = {A Sabir and R Hussain and DY Lee and SF Zaidi and A Pedro and MS Abbas and C Park},
url = {https://doi.org/10.1016/j.autcon.2024.105315},
doi = {10.1016/j.autcon.2024.105315},
year = {2024},
date = {2024-04-01},
urldate = {2024-04-01},
journal = {Automation in Construction},
volume = {160},
issue = {0926-5805},
pages = {105315},
abstract = {Inadequate communication during construction safety training can hinder knowledge transfer to workers, particularly migrant workers who face linguistic and literacy barriers, resulting in higher rates of fatal injuries. Additionally, limited abilities of trainers can further exacerbate this problem. To overcome these gaps, this paper presents a virtual reality-based knowledge delivery approach by integrating artificial Intelligence (AI) agent using ChatGPT as a live instructor. The system's effectiveness is assessed with participants from five countries. Results show a significant increase of 23% in scores between pre- and post-tests, indicating improved knowledge. The system performs uniformly across diverse language and educational backgrounds particularly benefiting those with prior experience. This research significantly contributes to the global construction community by improving safety training, promotes safer practices, and ultimately reduces accidents in diversified construction sites. It also opens avenues for research in immersive technologies and AI techniques, advancing in training methodologies and enhancing safety outcomes.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Inadequate communication during construction safety training can hinder knowledge transfer to workers, particularly migrant workers who face linguistic and literacy barriers, resulting in higher rates of fatal injuries. Additionally, limited abilities of trainers can further exacerbate this problem. To overcome these gaps, this paper presents a virtual reality-based knowledge delivery approach by integrating artificial Intelligence (AI) agent using ChatGPT as a live instructor. The system's effectiveness is assessed with participants from five countries. Results show a significant increase of 23% in scores between pre- and post-tests, indicating improved knowledge. The system performs uniformly across diverse language and educational backgrounds particularly benefiting those with prior experience. This research significantly contributes to the global construction community by improving safety training, promotes safer practices, and ultimately reduces accidents in diversified construction sites. It also opens avenues for research in immersive technologies and AI techniques, advancing in training methodologies and enhancing safety outcomes.