Journal Articles
Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915
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Item Real-time human pose estimation and tracking on monocular videos: A systematic literature review(Elsevier B V, 2025-11-28) Chen Y; Feng Z; Paes D; Nilsson D; Lovreglio RReal-time human pose estimation and tracking on monocular videos is a fundamental task in computer vision with a wide range of applications. Recently, benefiting from deep learning-based methods, it has received impressive progress in performance. Although some works have reviewed and summarised the advancements in this field, few have specifically focused on real-time performance and monocular video-based solutions. The goal of this review is to bridge this gap by providing a comprehensive understanding of real-time monocular video-based human pose estimation and tracking, encompassing both 2D and 3D domains, as well as single-person and multi-person scenarios. To achieve this objective, this paper systematically reviews 68 papers published between 2014 and 2024 to answer six research questions. This review brings new insights into computational efficiency measures and hardware configurations of existing methods. Additionally, this review provides a deep discussion on trade-off strategies for accuracy and efficiency in real-time systems. Finally, this review highlights promising directions for future research and provides practical solutions for real-world applications.Item Comparative analysis of fire evacuation decision-making in immersive vs. non-immersive virtual reality environments(Elsevier B V, 2025-11-01) Zhang Y; Paes D; Feng Z; Scorgie D; He P; Lovreglio RUnderstanding emergency behavior is crucial for designing safer, resilient infrastructure. Immersive Virtual Reality (VR) realistically simulates emergencies but is resource-intensive, so systematic comparisons with non-immersive VR remain scarce. To address this gap, a multifactorial VR fire-evacuation experiment was conducted in which participants navigated a room with three exits under varied conditions (e.g., social influence, smoke presence, exit distance, exit familiarity). Results indicated no significant difference in overall decision-making between immersive and non-immersive VR. Nevertheless, immersion modulated key factors: in immersive VR, participants preferred nearer exits, were more susceptible to social influence, and experienced stronger effects of smoke and exit familiarity. Smoke also reduced the influence of exit distance. Personal factors (e.g., prior VR experience, age, gender) shaped perceptions and emotions; heightened negative emotions and perceived risk were associated with less rational (i.e., suboptimal) choices, particularly in immersive VR. These insights inform VR safety training, guiding simulations that more faithfully replicate real emergencies.Item Real-Time tracking and analysis in construction projects: A RealCONs framework(Elsevier Ltd, 2025-09-01) Radman K; Jelodar MB; Lovreglio R; Ghazizadeh E; Wilkinson SConstruction projects increasingly rely on processing vast amounts of data from multiple sources, including consultants (BIM), cloud-based project management platforms (e.g., Aconex), planning departments, construction sites, main contractors, and subcontractors. However, inefficiencies in data acquisition and reliance on manual data entry hinder real-time project analysis, delay notifications, and decision-making. This study introduces the Real-Time Data-Driven Construction Project Analysis Framework (RealCONs) to address these challenges by streamlining data flow and enhancing project performance. A comparative analysis used eight case studies four employing the existing approach and four utilising RealCONs—to assess improvements in data integration, early delay identification, and decision-making efficiency. The results, validated through Earned Value Management (EVM) and Earned Schedule Management (ESM) metrics, demonstrate that RealCONs significantly enhance project forecasting accuracy, schedule adherence, and cost management. Additionally, statistical analyses, including the Shapiro-Wilk test and the Wilcoxon Signed-Rank analysis, confirm that RealCONs outperform the existing approach by reducing data collection and decision-making delays, enabling project managers to implement proactive mitigation strategies. These findings highlight RealCONs’ potential to improve project efficiency, reduce costs, and optimise real-time construction management.Item RealCONs: A Digital Framework for Construction Reporting Accuracy and Early Delay Detection(International Council for Research and Innovation in Building and Construction, 2025-05-01) Radman K; Babaeian Jelodar M; Lovreglio RAccurate and timely reporting is essential for effective construction project management. However, existing progress tracking systems often face challenges such as delayed reporting, data inconsistencies, and inefficient documentation processes, compromising report accuracy and prolonging preparation times. This study introduces RealCONs, a digital framework for on-site project reporting management designed to enhance construction site real-time data acquisition, project tracking and reporting. The framework integrates the Rational Unified Process (RUP) methodology and Unified Modelling Language (UML) to streamline workflows. A comparative analysis was conducted using case studies from the Electrical and Instrumentation (E&I) trade dataset to evaluate RealCONs' effectiveness in 1) improving daily reports generation speed, 2) Reducing reporting errors, and 3) Improving project performance via early delay identification. A mixed-methods approach was employed to validate RealCONs' objectives, analysing daily reports and their preparation times while utilising Earned Value Management (EVM) metrics to assess the impact of early delay identification on project performance (CPI, SPI). The results demonstrate that RealCONs significantly outperforms traditional methods, increasing total report generation by 32.2%, reducing reporting errors by 84%, and enabling earlier delay notifications. Although developed for the E&I trade, the framework offers scalable applications for broader construction and infrastructure projects facing similar reporting inefficiencies.Item A Virtual Reality Exit Choice Experiment to Assess the Impact of Social Influence and Fire Wardens in a Metro Station Evacuation(Springer Nature, 2025-05-19) Lu S; Rodriguez M; Feng Z; Paes D; Daemei AB; Vancetti R; Mander S; Mandal T; Rao KR; Lovreglio RAssessing evacuation time is a fundamental task in fire engineering. One of the key decisions made in evacuation dynamics is exit choice. In this work, we propose a new immersive virtual reality (VR) experiment to assess the effects of social influence and fire wardens’ instructions on the exit chosen. We also investigate if and how the perceived level of authority of the fire wardens (i.e., metro staff members or firefighters) can affect these decisions. The proposed immersive VR experiment includes 12 different scenarios during a fire evacuation in an underground metro station. A sample of 131 participants took part in the experiment, making 1048 choices. We estimate a discrete choice model to quantify if and how these factors affect the participants’ decisions. The results show that both instructions by fire wardens and social influence significantly affect exit choice and that the impact of fire wardens can change depending on their perceived level of authority.Item Decoding Hospital Evacuation Drills: Pre-movement and Movement Analysis in New Zealand(Springer Science+Business Media, LLC, 2025-04-24) Geoerg P; de Schot L; Lovreglio RHospital evacuations present unique challenges due to the dependency of patients on medical staff and specialized equipment, making the process particularly complex. This study investigates the pre-movement and movement phases during hospital evacuation drills conducted in New Zealand, providing rare and valuable data that are critical for improving evacuation modeling in healthcare settings. Eight evacuation drills were conducted across various hospital units, including General Ward (GW) spaces, a Hyper Acute Stroke Unit (HASU), a High Dependency Unit (HDU), and a Post-Anesthesia Care Unit (PACU), with detailed documentation and analysis of preparation times, pre-movement times, and evacuation speeds. The results reveal significant variability in pre-movement times, heavily influenced by the specific needs of different units and the evacuation methods employed (e.g., beds, wheelchairs, walking). High-acuity units like the HDU, where patients require extensive medical support, exhibited notably longer active preparation times due to the complexity of disconnecting medical equipment. Additionally, horizontal movement speeds were slower for patients evacuated on beds compared to those using wheelchairs or walking. Given the rarity of such data and the uncertainty about the applicability of findings from other building types, this study underscores the need for tailored evacuation strategies that consider the distinct requirements of hospital environments. The findings highlight the importance of accounting for the dependencies on medical personnel and equipment, contributing to more accurate and effective evacuation planning in healthcare facilities. Further, the findings highlight the nuanced behaviours observed during healthcare evacuations, and provide valuable inputs for fire and evacuation modellers when designing for healthcare occupancies.Item Simulating human behavior under earthquake early warning(Elsevier Ltd, 2025-02-08) Wood M; McBride SK; Zhao X; Baldwin D; Cochran ES; Zhang X; Luco N; Lovreglio R; Cova TEarthquakes are a rapid-onset hazard where advance planning and learning plays a key role in mitigating injuries and death to individuals. Recent advances in earthquake detection have resulted in the development of earthquake early warning (EEW) systems. These systems can provide advance warning to predetermined geographic regions that an earthquake is in progress, which may result in individuals receiving warning seconds before significant shaking is felt at their location. This additional time could allow individuals to take more effective protective actions during the immediate disaster. To demonstrate this, we created an agent-based simulation of a basic apartment that allowed us to randomly and repeatedly simulate an individual receiving and responding to an EEW message. The results of our preliminary simulation show that, in our study environment, earthquake early warning alerts have the potential to allow for sufficient time for individuals to take protective actions.Item Gamification for air quality education: A systematic literature review(Elsevier B.V., 2025-01-09) Daemei AB; Lovreglio R; Feng Z; Paes D; Miller CAir quality is crucial to our health and well-being, as poor air quality can lead to serious health problems such as asthma, allergies, and other respiratory conditions. Educating people about air quality is key to improving awareness and taking action to reduce its negative effects. Gamification offers a creative and engaging way to deliver educational content by incorporating game elements into the learning experience. However, despite its potential, there has been no review of how gamification has been used for air quality education. Thus, this review aims to fill that gap by systematically examining how gamification is applied to air quality education in the built environment. We explored a range of games and applications used to educate the public on air quality. To guide our analysis, we used the Octalysis framework, which focuses on game elements that motivate and engage users. Following the PRISMA guidelines for systematic reviews, we identified 19 relevant papers published between 2009 and 2023. From these, we developed 8 research questions to guide the review process and analyzed the game elements using the Octalysis framework. Our findings show that most studies focus on residential buildings, with a key focus on raising awareness of the health impacts of air pollution and managing asthma. Notably, many of these studies target children, who are more vulnerable to air pollution. We also introduce the first taxonomy for gamification in air quality education, providing a clear structure for future game development in this area. Finally, the review highlights the need to explore other educational topics that could benefit from gamification, and how this approach could improve both indoor and urban air quality, as well as reduce energy consumption.Item Video see-through augmented reality fire safety training: A comparison with virtual reality and video training(Elsevier B.V., 2024-12-10) Domgue K LI; Paes D; Feng Z; Mander S; Datoussaid S; Descamps T; Rahouti A; Lovreglio RSafety training is crucial to mitigate the risk of damage when a disaster occurs and can play a vital role in enhancing community response. Augmented Reality (AR) is an emerging technology for safety training that holds great pedagogical potential. This study aims to explore the effectiveness of AR training in terms of knowledge acquisition and retention, as well as self-efficacy enhancement. We developed a new video see-through AR training tool on a tablet to teach users about operating a fire extinguisher to put out a fire following the PASS procedure: Pull, Aim, Squeeze, and Sweep (PASS). The AR training tool was tested with 60 participants. Test results were systematically compared with findings from the literature investigating Virtual Reality (VR) and video-based safety training. The findings indicate that, directly after the training, AR outperformed traditional video training in terms of knowledge retention, long-term self-efficacy, and quality of instructions. However, the AR experience was not as effective as the VR experience in all these areas, but the AR group had a smaller decrease in knowledge over time. These findings suggest that the AR-based training approach offers benefits in long-term memory recall.Item A study of staff pre-evacuation behaviors in a Malaysian hotel(John Wiley and Sons, Ltd., 2024-10-28) Noumeur A; Lovreglio R; Md Said MS; Baharudin MR; Yusoff HM; Mohd Tohir MZSimulating fire and evacuation scenarios is crucial for engineers to assess building safety during fire incidents. Accurate simulations require data on occupants' behaviors, particularly during the pre-evacuation phase as these decisions significantly impact evacuation duration. Gathering comprehensive data from diverse regions while considering cultural and regional variations is necessary to understand how occupants' behavior is influenced. Thus, this study focuses on examining the behavior of Malaysian hotel staff during unannounced fire drill to gain insights into factors affecting their behavior during pre-evacuation stage, such as fire experience, fire alarm, drill participation, fire training, and awareness. The study categorizes the actions performed by the hotel staff into sequences and analyses them based on influencing factors. The findings indicate that instead of immediately evacuating in response to emergency notification, the hotel staff engage in various actions. Most staff members initially investigate or ignore the emergency, resulting in longer pre-evacuation times. Moreover, the results suggest that previous drill participation and high awareness levels contribute to shorter pre-evacuation times. Conversely, previous fire experience, fire training, and fire alarm familiarity have no effect on pre-evacuation time.