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Boton C.,CRP Henri Tudor | Halin G.,Research Center in Architecture and Engineering | Kubicki S.,CRP Henri Tudor
Computing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering | Year: 2014

This article proposes a metamodel to describe the use context of collaborative 4D modeling in Architecture, Engineering and Construction. While interaction with three-dimensional models has been extensively discussed in the literature, the interaction principles with the fourth dimension are much less treated. It is indeed a challenging issue according to the characteristics of the construction industry. The proposed metamodel is a preliminary step toward the proposal of adapted and/or innovative visualization and interaction mechanisms in collaborative 4D tools. It allows a good understanding of the collaborative 4D simulation activity and the identification of the main variables to consider from a high level point of view. © ASCE 2014. Source


Kubicki S.,CRP Henri Tudor | Halin G.,Research Center in Architecture and Engineering
Lecture Notes in Business Information Processing | Year: 2010

In the Architecture, Engineering and Construction sector (AEC) cooperation between actors is essential for project success. The analysis of the cooperation context enables the identification of the "usages" carried out by each actor of a construction project when cooperating with others. It constitutes an important issue in highly collaborative domains. This article suggests a usage-centered process to design Adaptable Visualization Services. A Model-Driven Engineering lets us to describe usages, visualization services, business services and business domain and to define the relationships between their concepts. This method, inspired from UI design methods from software engineering or HCI domains, is integrated in an innovative service design process which guides the visualization services discovery, specification, development and appropriation by the end-users. © 2010 Springer-Verlag. Source


Boton C.,CRP Henri Tudor | Boton C.,Research Center in Architecture and Engineering | Kubicki S.,CRP Henri Tudor | Halin G.,Research Center in Architecture and Engineering
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

Planning is crucial in the success of construction projects and 4D/nD simulation is an innovative approach to improve it. Because construction planning is mainly a collaborative activity, the collaborative use of 4D/nD simulation is growing in the Architecture, Engineering and Construction (AEC), following the implementation of Building Information Modeling (BIM) workprocesses. Multiple scientific research works have been devoted to collaborative 4D/nD simulation. Major software editors in the industry are also proposing solutions to develop it. But many challenges remain such as adapting visualization or optimizing collaboration processes. To be able to address these challenges, it is important firstly to conceptualize the notion of collaborative 4D/nD construction simulation. This article is based on an understanding of collective activity in the AEC industry, and theoretical elements from Simulation and CSCW scientific fields. It provides a generic definition and identifies the key components to consider in the improvement of collaborative 4D/nD simulation tools. © 2013 Springer-Verlag Berlin Heidelberg. Source


Guerriero A.,CRP Henri Tudor | Guerriero A.,Research Center in Architecture and Engineering | Kubicki S.,CRP Henri Tudor | Halin G.,Research Center in Architecture and Engineering
Computer-Aided Civil and Infrastructure Engineering | Year: 2010

The growing complexity of AEC projects is increasing the importance of the building construction coordination role. Moreover, the uncertainty linked to the environment of the construction activity makes way for the notion of trust. The coordinator can make use of multiple tools/views for accomplishing his mission. This research work suggests analyzing data coming from these different views to consolidate trust indicators informing the coordinator about " trust in the correct progression of the construction activity." The approach suggested in this article distinguishes between four aspects of the activity determining the global trust level: task progress, actor's performance, documents required to perform the task, and building elements resulting from the task. The proposal suggests introducing these trust indicators in a dashboard, included in a multiview interface, thus allowing the coordinator to identify the tasks with a low trust level and to understand the nature of dysfunctions. A prototype has been developed and integrated in a service-based IT infrastructure. Results of an experiment stage are finally discussed to validate the approach. © 2009 Computer-Aided Civil and Infrastructure Engineering. Source


Boton C.,Ecole de Technologie Superieure of Montreal | Boton C.,Research Center in Architecture and Engineering | Halin G.,Research Center in Architecture and Engineering | Kubicki S.,Luxembourg Institute of Science and Technology | Forgues D.,Ecole de Technologie Superieure of Montreal
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015

N-dimensional BIM models integrate many aspects of Architecture, Engineering and Construction (AEC) projects information. These models are well structured and allow users to practically query them, however they are more and more combined with other data sources, provided e.g. by Geographic Information Systems (GIS), Building Automation Systems (BAS) or Facility Management (FM) systems. Construction project managers are facing an important challenge related to making meaningful deduction from these heterogeneous data sets. In this context the current data mining approaches are showing their limitations. Big Data is then gradually getting a reality in the construction industry. This paper characterizes AEC project management data following the conceptual definition of Big Data and proposes a high-level conceptual pipeline aiming at bridging the gap between BIM-based related visualization works and information visualization domain. © Springer International Publishing Switzerland 2015. Source

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