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2019 | OriginalPaper | Buchkapitel

19. The BIMbot: A Cognitive Assistant in the BIM Room

verfasst von : Ivan Mutis, Adithya Ramachandran, Marc Gil Martinez

Erschienen in: Advances in Informatics and Computing in Civil and Construction Engineering

Verlag: Springer International Publishing

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Abstract

Today, collaborative environment method is of with widespread use among project stakeholders. They benefit project planning in a variety of ways, including by enabling team members to build stronger relationships, enhance communication, and perform efficient planning, to name several. The collaboration occurs in sessions that immerse stakeholders in an environment commonly referred to as a BIM room—a shared space that enables project stakeholders, such as architects, general contractors, structural and MEP trades, and other specialized knowledge actors, to physically or virtually meet and to establish constant presence. The BIM room is a medium for stakeholders (BIM-room participants) to more accurately and efficiently make informed decisions on end to end construction problems. This project is aimed at investigating the use of information technology as a mediating mechanism to facilitate sharing meanings of expressions and to assist stakeholders in effectively finding relevant information that connects to their intent in the BIM-room. This research proposes the creation and implementation of a cognitive assistant to project stakeholders: BIMbot. The BIMbot is an agent that will have the ability to simulate a conversation or a messaging exchange with a present actor. From the actor-BIM-bot exchange and having an order, command, or request, BIMbot will carry common functions for the actors within the BIM room like retrieve the current version of family-objects of the BIM; load, filter, and view section(s) of interest; automate object placement; etc. BIMbot is designed to produce significantly more efficient interaction of collaborative meetings in the BIM room.

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Literatur
2.
Zurück zum Zitat Dossick, C.S., Anderson, A., Azari, R., Iorio, J., Neff, G., Taylor, J.E.: Messy talk in virtual teams: achieving knowledge synthesis through shared visualizations. J. Manag. Eng. 31(1), A4014003 (2015)CrossRef Dossick, C.S., Anderson, A., Azari, R., Iorio, J., Neff, G., Taylor, J.E.: Messy talk in virtual teams: achieving knowledge synthesis through shared visualizations. J. Manag. Eng. 31(1), A4014003 (2015)CrossRef
3.
Zurück zum Zitat Dossick, C., Neff, G.: Messy talk and clean technology: communication, problem solving and collaboration using building information modelling. Eng. Proj. Organ. J. 1(2), 83–93 (2011)CrossRef Dossick, C., Neff, G.: Messy talk and clean technology: communication, problem solving and collaboration using building information modelling. Eng. Proj. Organ. J. 1(2), 83–93 (2011)CrossRef
4.
Zurück zum Zitat Merschbrock, C., ErikMunkvold, B.: Effective digital collaboration in the construction industry—A case study of BIM deployment in a hospital construction project (2018) Merschbrock, C., ErikMunkvold, B.: Effective digital collaboration in the construction industry—A case study of BIM deployment in a hospital construction project (2018)
5.
Zurück zum Zitat Addor, M., Santos, E.: BIM design coordination room infrastructure: assessment of communication activities. In: Computing in Civil and Building Engineering (2014), (2018) Addor, M., Santos, E.: BIM design coordination room infrastructure: assessment of communication activities. In: Computing in Civil and Building Engineering (2014), (2018)
6.
Zurück zum Zitat Georgia Tech BIM Requirements and Guidelines for Architects, Engineers and Contractors., 1st ed., pp. 1–39. Atlanta, Georgia Institute of Technology (2011) Georgia Tech BIM Requirements and Guidelines for Architects, Engineers and Contractors., 1st ed., pp. 1–39. Atlanta, Georgia Institute of Technology (2011)
7.
Zurück zum Zitat Jack, C.: CHATBOT: Architecture, Design, and Development (2017) Jack, C.: CHATBOT: Architecture, Design, and Development (2017)
8.
Zurück zum Zitat Vinyals, O., Quoc, V. Le.: A Neural Conversational Model (2015) Vinyals, O., Quoc, V. Le.: A Neural Conversational Model (2015)
9.
Zurück zum Zitat Alom, M.Z., Taha, T.M., Yakopcic, C., Westberg, S., Hasan, M., Van Esesn, B.C., Awwal, A.A.S., Asari, V.K. :The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches (2018) Alom, M.Z., Taha, T.M., Yakopcic, C., Westberg, S., Hasan, M., Van Esesn, B.C., Awwal, A.A.S., Asari, V.K. :The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches (2018)
10.
Zurück zum Zitat Wu, Y., Schuster, M., Chen, Z., Le, Q.V., Norouzi, M. : Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation (2016) Wu, Y., Schuster, M., Chen, Z., Le, Q.V., Norouzi, M. : Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation (2016)
11.
Zurück zum Zitat Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to Sequence Learning with Neural Networks (2014) Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to Sequence Learning with Neural Networks (2014)
12.
Zurück zum Zitat Cho, K., Merrienboer, B.V., Bahdanau, D., Bengio, Y. : On the properties of neural machine translation: encoder-decoder approaches. Comp. Sci. (2014a) Cho, K., Merrienboer, B.V., Bahdanau, D., Bengio, Y. : On the properties of neural machine translation: encoder-decoder approaches. Comp. Sci. (2014a)
14.
Zurück zum Zitat Lipton, Z.C., Berkowitz, J., Elkan, C.: A Critical Review of Recurrent Neural Networks for Sequence Learning (2015) Lipton, Z.C., Berkowitz, J., Elkan, C.: A Critical Review of Recurrent Neural Networks for Sequence Learning (2015)
17.
Zurück zum Zitat Bahdanau, D., Cho, K., Bengio, Y.: Neural Machine Translation by Jointly Learning to Align and Translate (2014) Bahdanau, D., Cho, K., Bengio, Y.: Neural Machine Translation by Jointly Learning to Align and Translate (2014)
18.
Zurück zum Zitat Sennrich, R., Haddow, B., Birch, A.: Neural Machine Translation of Rare Words with Subword Units (2016) Sennrich, R., Haddow, B., Birch, A.: Neural Machine Translation of Rare Words with Subword Units (2016)
19.
Zurück zum Zitat Veizenbaum, J.: ELIZA—A Computer Program For the Study of Natural Language Communication Between Man And Machine (1966) Veizenbaum, J.: ELIZA—A Computer Program For the Study of Natural Language Communication Between Man And Machine (1966)
20.
Zurück zum Zitat Bird, S., Klein, E., Loper, E. : Analyzing text with Natural Language Toolkit Bird, S., Klein, E., Loper, E. : Analyzing text with Natural Language Toolkit
21.
Zurück zum Zitat Liu, F., Lu, H., Neubig, G. : Handling Homographs in Neural Machine Translation (2018) Liu, F., Lu, H., Neubig, G. : Handling Homographs in Neural Machine Translation (2018)
22.
Zurück zum Zitat Yoon, S., Kim, S., Choi, J., Keum, D., Jo, C.: A proposal for using BIM model created in design to construction phase—Case Study on preconstruction adopting BIM. J. KIBIM 5(4), 1–10 (2015)CrossRef Yoon, S., Kim, S., Choi, J., Keum, D., Jo, C.: A proposal for using BIM model created in design to construction phase—Case Study on preconstruction adopting BIM. J. KIBIM 5(4), 1–10 (2015)CrossRef
23.
Zurück zum Zitat Shafiq, M., Matthews, J., Lockley, S. : A study of BIM collaboration requirements and available features in existing model collaboration systems. In: International Council for Research and Innovation in Building and Construction (2013) Shafiq, M., Matthews, J., Lockley, S. : A study of BIM collaboration requirements and available features in existing model collaboration systems. In: International Council for Research and Innovation in Building and Construction (2013)
Metadaten
Titel
The BIMbot: A Cognitive Assistant in the BIM Room
verfasst von
Ivan Mutis
Adithya Ramachandran
Marc Gil Martinez
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-030-00220-6_19