Title : ( AI-driven enhancement of customer-centric design for improved satisfaction and decision-making )
Authors: Mojtaba Maghrebi ,
Abstract
Customer-centric design improves satisfaction by actively involving clients in the construction decision-making process. However, current Virtual Reality (VR) methods rely on manual processes, extensive human resources, and costly high-end hardware, restricting accessibility. This study proposes an AI-driven enhancement of customer-centric design in construction through an accessible smartphone-based VR platform integrated with an Intelligent Support System (ISS). The ISS employs an artificial neural network to predict customers\\\' preferred design styles from user-uploaded images and utilizes the TOPSIS algorithm to rank design alternatives based on customer evaluations regarding cost, time, risk, and aesthetics. Selected designs are automatically communicated to the design team. A validation case study involving 30 construction industry participants indicated a satisfaction rate of 79 %, overall approval rating of 69 %, and an 80 % match between user-selected designs and ISS recommendations. The developed AI-driven VR platform effectively improves decision-making, customer satisfaction, and accessibility of customer-centric participation in construction.
Keywords
Design supportArtificial intelligenceVirtual realityConstructionBIM@article{paperid:1102941,
author = {Maghrebi, Mojtaba},
title = {AI-driven enhancement of customer-centric design for improved satisfaction and decision-making},
journal = {Automation in Construction},
year = {},
volume = {175},
number = {175},
issn = {0926-5805},
pages = {106220--106236},
numpages = {16},
keywords = {Design supportArtificial intelligenceVirtual realityConstructionBIM},
}
%0 Journal Article
%T AI-driven enhancement of customer-centric design for improved satisfaction and decision-making
%A Maghrebi, Mojtaba
%J Automation in Construction
%@ 0926-5805
%D