Conversational-BIM: Improving Collaborative Onsite Construction Operations and Assemblage

A Talk by Dr Sikiru A. Ganiyu
Senior Lecturer in Project Management, Teesside University International Business School

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About this talk

The traditional construction approach is notorious for poor productivity and inadequate contribution to economic development. The rate at which the industry's productivity is advancing lags behind other industries of the economy. The adoption of BIM has transformed the way buildings are designed and enhanced the implementation of manufacturing approaches within the construction industry, such as Design for Manufacture and Assembly (DFMA).

However, the adoption of BIM by on-site frontline workers for the assembly of manufactured building components is non-existent. This gap results in the loss of the productivity gains accruable from using BIM for supporting construction operations. Onsite frontline workers spend more time interfacing with BIM tools than they spend on completing the actual assembly tasks. Current BIM interfaces are not practicable for on-site operations because they are too slow and can distract on-site frontline workers from carrying out their activities.

Conversational-BIM introduces advanced Natural Language Processing (NLP) and Conversational Artificial Intelligence (AI) to enable on-site frontline workers to communicate with BIM systems verbally and quickly get the information they need during on-site operations and assemblage. In addition, it utilises Augmented Reality (AR) to provide visual support to access BIM systems and installation guides without obstructing or distracting the view of onsite workers. Accordingly, Conversational-BIM exploits advanced AI, Computer Visions, and AR technologies to develop an end-to-end BIM solution to support onsite assembly operations.


  1. Designing and exporting building models from Revit to the Unity platform.

  2. Adding material and texture to building models in the Unity Platform.

  3. Scripting to enable data transformation and interaction with elements in the building models.

  4. Integrating voice interaction (Conversation-AI) into the AR Application.

  5. Integrating the development into Desktop, Tablet, and HoloLens environments.

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