The construction industry continues to face declining productivity due to its heavy reliance on labor and the repetitive, non-value-adding nature of supervision tasks. This study provides an exploratory, practitioner-based evaluation of how selected digital technologies, PDF-based documentation systems, object recognition algorithms, and 3D vision technology may contribute to productivity improvements in construction supervision. A total of 82 valid responses from field engineers were collected to examine perceived task substitution effects across major construction work types and management functions. The findings indicate that higher work-adoption rates of digital technologies are generally associated with improved supervisory productivity, with the strongest perceived benefits observed for PDF-based documentation in reinforced concrete and formwork tasks. However, other expected relationships, particularly those involving work responsibility, did not appear consistently in the practitioner data, suggesting that such perceptions may be influenced by task context and adaptation burden. This study offers a practical and context-specific framework for understanding how digital tools may support productivity enhancement in supervision work. While the results reflect tendencies based on a limited sample, they provide field-grounded insights that can inform the phased and targeted application of digital technologies in construction supervision and guide future empirical model development.

The domestic construction industry continues to face persistent productivity challenges, often leading to increased project costs and schedule delays. Despite considerable advances in digital technologies, the practical implementation of digital solutions at construction sites remains limited, due to insufficient consideration of realistic working conditions and user needs. In this study, a digital supervision system optimized for mobile devices was developed to digitize core supervision processes, including inspection request confirmation, inspection execution, result notification, and access to supervision records. Investigation was adopted, involving experts with over 15 years of field experience, to systematically evaluate the usability and field applicability of the system. The assessment focused on four key domains: physical accessibility and usability, improvement of work efficiency, ease of learning and accessibility, and reflection of existing work practices. Both importance and performance were rated for each domain, and the gaps were analyzed to identify priority areas for improvement. The results revealed that the integration with existing workflows was the most critical factor for successful adoption, yet also exhibited the greatest performance gap. While the system excelled in data management and retrieval, there remained a strong need for further automation and enhanced user guidance, particularly in inspection execution. All participants expressed a high intention to use the system in the future, underscoring its potential value despite current limitations. This study highlights the necessity of user-centered approaches in digital system development and provides practical recommendations for advancing the digital transformation of construction supervision. Future research should expand the sample size and construction types to validate and refine these findings.