Seungkeun Yeom , Juui Kim , Seungwon Seo , Seongkyun Ahn , Choongwan Koo , Taehoon Hong
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引用次数: 0
Abstract
This paper investigates how personality traits and psychological-cognitive states influence task performance, safety, and physiological responses of novice tower crane operators through a virtual reality (VR) simulation integrated with continuous biometric monitoring. Fifty participants completed object lifting, obstacle navigation, and precision placement tasks while personality profiles and biosignals (ECG, EDA) were collected and analyzed using principal component analysis,cluster-based classification, and additional statistical methods. High extraversion and situational awareness enhanced speed and accuracy, whereas high openness, stress sensitivity, and acrophobia led to longer durations and reduced accuracy. High conscientiousness shortened task times by 19.12% but increased collisions by approximately threefold, revealing a trade-off between efficiency and safety. By integrating behavioral, cognitive, and physiological data, this work advances technology-enabled, data-driven safety management. The proposed approach enables automated operator risk profiling, intelligent task allocation, and proactive safety interventions for high-rise construction projects involving crane operations.
期刊介绍:
Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities.
The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.