Digital inspection technologies are increasingly being adopted in the construction industry to improve efficiency, decision quality, and sustainability performance. Mixed reality (MR) systems can reduce rework, minimise human error, and support resource-efficient inspection processes. However, empirical evidence on how perceptions of efficiency and safety influence professional acceptance of MR technologies remains limited. This study investigates the adoption of MR for construction inspection using an extended technology acceptance model (TAM) that incorporates task efficiency and safety perception as domain-specific human factors. A within-subjects scenario-based experimental design was applied, in which 103 construction professionals evaluated four inspection modalities: HoloLens MR, smart glasses, tablet-based systems, and traditional paper-based methods. Data was analysed using linear mixed-effects models, structural equation modelling, mediation analysis, and dominance analysis. The results show that HoloLens MR achieved the highest perceived efficiency and safety perception, while imposing the lowest cognitive demand. Perceived efficiency was a strong predictor of device preference and significantly predicted perceived usefulness (β = 0.322, p < 0.001), which fully mediated its effect on behavioural intention. Safety perception accounted for a substantial proportion of the variance in user evaluations (η² = 0.237). These findings indicate that sustainable adoption of MR in construction inspection depends on combined perceptions of efficiency gains, usability, and safety support.

Mixed Reality (MR) overlays digital content onto the physical world, holding significant promise for improving construction collaboration and inspection. This study investigates its current role via a quantitative, survey based methodology, collecting data from 125 global construction professionals. Descriptive statistics revealed limited MR adoption, with 40.8% of respondents using the technology rarely and just 12.8% reporting frequent usage. Reliability analysis confirmed strong internal consistency for perceived benefits (α = 0.935) and acceptable consistency for barriers (α = 0.762). Exploratory factor analysis (KMO = 0.932; Bartlett’s test of sphericity, p < 0.001) validated the unidimensionality of the benefits construct. Multiple regression analysis revealed no significant relationship between perceived benefits or barriers and MR usage frequency (R² = 0.011, p = 0.512). Chi square analysis found no significant regional differences in MR use (χ² = 115.4, p = 0.899), though this result warrants cautious interpretation given the sparse expected cell counts. The findings suggest that MR adoption may be influenced by factors beyond user perceptions, highlighting the importance of organisational readiness, training, and infrastructure support.

Soil stabilisation is a unique method to effectively and accurately find a solution to the issues caused by loose subsoil. This research investigates the problems of uncontrolled industrial effluent disposal, mainly from tannery enterprises, which presents severe environmental problems in emerging nations due to soil properties changing and large regions being unfit for cultivation and human habitation. The study uses Atterberg's limits, sieve analysis, and direct shear testing to examine the effects of untreated tannery effluents on soil parameters. The findings show that the soil's shear strength, moisture content, and flexibility have all significantly decreased. Lime and waste stone powder were added to lessen these impacts, and this improved soil stability was shown by an increase in the values of all the variables. For efficient soil remediation, the study suggests using waste stone powder and lime in the following proportions: 0%, 3%, 6%, and 9%. Combining lime stabilisation methods with industrial by-products like slag and fly ash opens up new possibilities for enhancing the geotechnical characteristics of polluted soils. This study emphasises how important it is to use customised geotechnical design techniques to handle soil contamination issues in infrastructure and foundation projects, especially in areas where the leather industry predominates.

Mixed Reality (MR) technologies are increasingly used in construction to support inspection, visualization, and coordination. Despite growing adoption, the scientific understanding of how construction professionals evaluate the perceived value of MR technologies remains limited, particularly in the early stages of implementation. This study addresses the research gap by examining the scientific and applied dimensions of MR value, with a focus on usability and adaptability in construction environments. A cross-sectional survey of 129 construction professionals was conducted, and the data were analyzed using statistical methods including T-tests, exploratory factor analysis, and regression modelling. The results show that perceived value is not significantly influenced by device modality but is strongly determined by usability factors, particularly ease of use (β = 0.330, p = 0.003) and adaptability to site conditions (β = 0.206, p = 0.029). These findings contribute to scientific literature by conceptualizing perceived value as a multi-dimensional construct and provide practical insights for optimizing MR adoption in construction workflows. The study provides exploratory empirical evidence supporting user-centered design considerations for MR implementation and highlights the importance of contextual robustness for technology adoption in construction environments.