Changwan Kim

TL;DR: In this paper, the authors developed an accurate, essentially fully automated method for construction progress measurement using a 4D BIM in concert with 3D data obtained by remote-sensing technology.

TL;DR: In this article, a method for automatically extracting building geometries from unorganized point clouds is proposed, where the collected raw data undergo data downsizing, boundary detection and building component categorization, resulting in the building components being recognized as individual objects and their visualization as polygons.

TL;DR: This study found that user satisfaction was an important indicator of adoption of the intent to adopt mobile computing devices in the construction industry and determinants of perceived usefulness, such as social influence, job relevance, and top management support, and determinant of perceived ease of use are critical factors that influence the successful implementation of mobile computing device in theConstruction industry.

TL;DR: In this article, the authors empirically examined the factors that can potentially facilitate architects' adoption of BIM through an extension of the technology acceptance model and found that top management support, subjective norm, compatibility, and computer self-efficacy are critical factors affecting architects' behavioral intentions to adopt BIM.

TL;DR: In this paper, the authors investigate factors that influence the successful implementation of a Web-based training system in the construction industry and provide insight into acceptance of WBT on the part of professionals.