Artificial intelligence-based voice assistant for BIM data management

Faris  Elghaish; Jatin Kumar  Chauhan; Sandra Matarneh; Farzad Rahimian; M. Reza  Hosseinin

doi:10.1016/j.autcon.2022.104320

Artificial intelligence-based voice assistant for BIM data management

Faris Elghaish, Jatin Kumar Chauhan, Sandra Matarneh, Farzad Rahimian, M. Reza Hosseinin

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Abstract

Existing systems that employ Automatic Speech Recognition (ASR) technology to retrieve information from the BIM model fail to provide remote interaction, retrieve a wide range of data, and automate the entire process. This is particularly a problem for users with disabilities. The paper offers a two-way, automated, and agnostic solution to this theoretical and methodological gap. A ‘Proof of Concept’ prototype was developed using Amazon Alexa – as the AI voice assistant platform – to test the applicability. The outcome shows that the created and the retrieved information is valid. Furthermore, there is a high level of interoperability among the components of the proposed solution, including the AI voice assistant interface and mediation environment to convert verbal requests and retrieve information to CSV files. Future research will extend the created solution to retrieve and access information from a BIM cloud model.

Original language	English
Journal	Automation in Construction
DOIs	https://doi.org/10.1016/j.autcon.2022.104320
Publication status	Published - 31 May 2022

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title = "Artificial intelligence-based voice assistant for BIM data management",

abstract = "Existing systems that employ Automatic Speech Recognition (ASR) technology to retrieve information from the BIM model fail to provide remote interaction, retrieve a wide range of data, and automate the entire process. This is particularly a problem for users with disabilities. The paper offers a two-way, automated, and agnostic solution to this theoretical and methodological gap. A {\textquoteleft}Proof of Concept{\textquoteright} prototype was developed using Amazon Alexa – as the AI voice assistant platform – to test the applicability. The outcome shows that the created and the retrieved information is valid. Furthermore, there is a high level of interoperability among the components of the proposed solution, including the AI voice assistant interface and mediation environment to convert verbal requests and retrieve information to CSV files. Future research will extend the created solution to retrieve and access information from a BIM cloud model. ",

author = "Faris Elghaish and Chauhan, {Jatin Kumar} and Sandra Matarneh and Farzad Rahimian and Hosseinin, {M. Reza}",

year = "2022",

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day = "31",

doi = "10.1016/j.autcon.2022.104320",

language = "English",

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AU - Elghaish, Faris

AU - Chauhan, Jatin Kumar

AU - Matarneh, Sandra

AU - Rahimian, Farzad

AU - Hosseinin, M. Reza

PY - 2022/5/31

Y1 - 2022/5/31

N2 - Existing systems that employ Automatic Speech Recognition (ASR) technology to retrieve information from the BIM model fail to provide remote interaction, retrieve a wide range of data, and automate the entire process. This is particularly a problem for users with disabilities. The paper offers a two-way, automated, and agnostic solution to this theoretical and methodological gap. A ‘Proof of Concept’ prototype was developed using Amazon Alexa – as the AI voice assistant platform – to test the applicability. The outcome shows that the created and the retrieved information is valid. Furthermore, there is a high level of interoperability among the components of the proposed solution, including the AI voice assistant interface and mediation environment to convert verbal requests and retrieve information to CSV files. Future research will extend the created solution to retrieve and access information from a BIM cloud model.

AB - Existing systems that employ Automatic Speech Recognition (ASR) technology to retrieve information from the BIM model fail to provide remote interaction, retrieve a wide range of data, and automate the entire process. This is particularly a problem for users with disabilities. The paper offers a two-way, automated, and agnostic solution to this theoretical and methodological gap. A ‘Proof of Concept’ prototype was developed using Amazon Alexa – as the AI voice assistant platform – to test the applicability. The outcome shows that the created and the retrieved information is valid. Furthermore, there is a high level of interoperability among the components of the proposed solution, including the AI voice assistant interface and mediation environment to convert verbal requests and retrieve information to CSV files. Future research will extend the created solution to retrieve and access information from a BIM cloud model.

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M3 - Article

SN - 0926-5805

JO - Automation in Construction

JF - Automation in Construction

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Artificial intelligence-based voice assistant for BIM data management

Abstract

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