Collective Decision-Making with 4D BIM: Collaboration Group Persona Study

  • Veronika BolshakovaEmail author
  • Annie Guerriero
  • Hugo Carvalho
  • Gilles Halin
Conference paper


4D BIM assures more detailed costs and error control, whilst also improving scheduling and coordination. It relies on interoperability and high levels of collaboration, which have increased the value of collective competencies. In addition to the competencies, the collaboration group internal influences and subordination must be considered as well. While the knowledge and competencies of each and every individual team member are important, BIM allows the team to use the entire set of collective knowledge, skills and competencies, which are the key feature for advanced digital management of the AEC project. Such management requires a successful implementation and efficient use of 4D or nD BIM. This study proposes to summarize collaboration personae of AEC project collaborative groups, and to associate the collective knowledge and competencies to 4D BIM uses. Further, it will be completed with interviews on current 4D practices with BIM professionals. Moreover, through this research, we continue to progress towards a new 4D collective decision-making support proposition.


4D BIM 4D BIM uses Decision-making Digital collaboration Collaboration persona Collaboration group Collective decision support 



The authors acknowledge financial support from Fonds Nationale de la Recherche (FNR) Luxembourg, and Agence Nationale de la Recherche (ANR) France, to 4DCollab grant reference: 11237662 (LU)/ANR-16- CE10-0006-01(FR).


  1. 1.
    Weippert, A., Kajewski, S.L.: AEC industry culture: a need for change. In: CIB World Building Congress 2004: Building for the Future. Toronto, Canada (2004)Google Scholar
  2. 2.
    Schultz, A., Essiet, M., Souza, D., Kapogiannis, G.: The Economics of BIM and added value of BIM to construction sector and society. Int. Counc. Res. Innov. Build, Constr (2013)Google Scholar
  3. 3.
    Jadhav, S.: Application of building information modeling in construction projects—a critical review. Int. J. Eng. Res., 26–31 (2016)Google Scholar
  4. 4.
    Tory, M., Staub-French, S., Po, B.A., Wu, F.: Physical and digital artifact-mediated coordination in building design. Comput. Support. Coop. Work 17, 311–351 (2008)CrossRefGoogle Scholar
  5. 5.
    Boton, C., Kubicki, S., Halin, G.: Designing adapted visualization for collaborative 4D applications. Autom. Constr. 36, 152–167 (2013)CrossRefGoogle Scholar
  6. 6.
    Guerriero, A., Kubicki, S., Berroir, F., Lemaire, C.: BIM-Enhanced Collaborative Smart Technologies for LEAN Construction Processes, pp. 1063–1070 (2017)Google Scholar
  7. 7.
    Bolshakova, V., Halin, G., Humbert, P., Boton, C.: Digital synchronous collaboration workspace and 3D interactions for an AEC project. Decis. Mak. Scenario Eval. CDVE 2017, 168–176 (2017)Google Scholar
  8. 8.
    Sackey, E.: A Sociotechnical Systems Analysis of Building Information Modelling (STSaBIM) Implementation in Construction Organisations, pp. 12–22 (2014)Google Scholar
  9. 9.
    WPS Group and Kaoris Future: Truths about BIM. (2018)Google Scholar
  10. 10.
    Steinberg, G.: Natural User Interfaces. Human-Computer Interact. INTERACT 2011.1 (2012)Google Scholar
  11. 11.
    McGraw Hill Construction: SmartMarket Report The Business Value of BIM for Construction in Major Global Markets: How Contractors Around the World Are Driving Innovation With Building Information Modeling, Bedford (2014)Google Scholar
  12. 12.
    Kubicki, S.: Assister la coordination flexible de l’activité de construction de bâtiments. Une approche par les modèles pour la proposition d’outils de visualisation du contexte de coopération. UL, Nancy, France (2006)Google Scholar
  13. 13.
    Himmelman, A.T.: Collaboration for a change. Fourth Int. Conf. Multi-Organizational Partnerships Coop. Strategy. Oxford University, England. 11, 2004 (July 8–10 1997)Google Scholar
  14. 14.
    Gu, N., London, K.: Understanding and facilitating BIM adoption in the AEC industry. Autom. Constr. 19, 988–999 (2010)CrossRefGoogle Scholar
  15. 15.
    Hughes, W., Murdoch, J.: Roles in Construction Projects: Analysis and Terminology. Construction Industry Publications, Birmingham (2001)Google Scholar
  16. 16.
    The Chartered Institute of Building: Guide to Good Practice in the Management of Time in Major Projects. Dynamic Time Modelling. Wiley-Blackwell, Hoboken, HJ, USA (2018)Google Scholar
  17. 17.
    McKinney, K., Kim, J., Fischer, M., Howard, C.: Interactive 4D-CAD. Proc. third Congr. Comput. Civ. Eng. 135, 1261 (1996)Google Scholar
  18. 18.
    Kreider, R.G., Messner, J.I.: The Uses of BIM: Classifying and Selecting BIM Uses. The Pennsylvania State University, University Park, PA, USA (2013)Google Scholar
  19. 19.
    Halin, G., Hanser, D., Malcurat, O., Bignon, J.C.: A relational approach of cooperation in building design. In: 8th International Conference on Concurrent Enterprising, Rome, Italy (2002)Google Scholar
  20. 20.
    Bolshakova, V., Guerriero, A., Halin, G.: Identification of relevant project documents to 4D BIM uses for a synchronous collaborative decision support. In: Creative Construction Conference 2018. p. Accepted for Publication. Ljubljana, Slovenia (2018)Google Scholar
  21. 21.
    Matthews, T., Whittaker, S., Moran, T., Yuen, S.: Collaboration personas : a new approach to designing workplace collaboration tools. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2247–2256 (2011)Google Scholar
  22. 22.
    Judge, T., Matthews, T., Whittaker, S.: Comparing collaboration and individual personas for the design and evaluation of collaboration software. In: Proceedings of 2012 ACM Annual Conference for Human Factors Computers System—CHI’ 12, pp. 1997–2000 (2012)Google Scholar
  23. 23.
    Matthews, T., Whittaker, S., Moran, T., Yang, M.: Collaboration personas: A framework for understanding & designing collaborative workplace tools. In: Workshop Collective Intelligence in Organizations: Toward a Research Agenda at Computer Supported Cooperative Work (CSCW), pp. 582–595 (2010)Google Scholar
  24. 24.
    Bornet, C., Brangier, E.: The effects of personas on creative codesign of work equipment: an exploratory study in a real setting. CoDesign. 12, 243–256 (2015)CrossRefGoogle Scholar
  25. 25.
    Braun, V., Clarke, V.: Using thematic analysis in psychology. Qual. Res. Psychol. 3, 77–101 (2006)CrossRefGoogle Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.UMR n°3495 Modèles et simulations pour l’architecture et le Patrimoine Centre de Recherche en Architecture et Ingénierie—MAP-CRAI, ENSANNancyFrance
  2. 2.Centre National de la Recherche scientifique—CNRSParisFrance
  3. 3.Luxembourg Institute of Science and Technology—LISTEsch-sur-alzetteLuxembourg
  4. 4.Psychologie Ergonomique et Sociale pour l’Expérience utilisateurs EA7312—PErSEUsMetzFrance
  5. 5.Université de Lorraine—ULNancyFrance

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