AI-Driven MetaHuman for Immersive VR Property Tours: Design and Early Evaluation

Md Golam Muttaquee Talukder; Muhammad Zahid Iqbal; Olugbenga Akinade

doi:10.1145/3788851.3815040

AI-Driven MetaHuman for Immersive VR Property Tours: Design and Early Evaluation

Md Golam Muttaquee Talukder
, Muhammad Zahid Iqbal
, Olugbenga Akinade

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

Property viewing and real estate decision-making are heavily dependent on spatial understanding and trust, which are difficult to
establish through conventional digital media such as videos, photographs and floor plans. The rise of immersive technologies like
Virtual Reality presents a new opportunity to transform how people
explore and evaluate properties. This research presents a VR-based
property tour system guided by an AI-driven MetaHuman agent
capable of natural conversation, contextual awareness and socially
aware movement. Developed in Unity and deployed on the Meta
Quest 2 with the Convai conversational AI framework, users can explore a high-fidelity virtual apartment while receiving personalised,
adaptive guidance from the agent in real time. Initial observations
from a preliminary user evaluation with ten participants suggest
positive improvements across presence, trust, authenticity, engagement and decision confidence, highlighting the clear potential of
AI-driven MetaHuman agent for immersive property exploration
and brand engagement in real estate contexts.

Original language	English
Title of host publication	AI-Driven MetaHuman for Immersive VR Property Tours: Design and Early Evaluation
Publisher	Association for Computing Machinery (ACM)
Pages	548-552
ISBN (Print)	9798400724480
DOIs	https://doi.org/10.1145/3788851.3815040
Publication status	Published - 9 Jun 2026

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10.1145/3788851.3815040Licence: CC BY

Full TextFinal published version, 3.09 MBLicence: CC BY

Cite this

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title = "AI-Driven MetaHuman for Immersive VR Property Tours: Design and Early Evaluation",

abstract = "Property viewing and real estate decision-making are heavily dependent on spatial understanding and trust, which are difficult to establish through conventional digital media such as videos, photographs and floor plans. The rise of immersive technologies like Virtual Reality presents a new opportunity to transform how people explore and evaluate properties. This research presents a VR-based property tour system guided by an AI-driven MetaHuman agent capable of natural conversation, contextual awareness and socially aware movement. Developed in Unity and deployed on the Meta Quest 2 with the Convai conversational AI framework, users can explore a high-fidelity virtual apartment while receiving personalised, adaptive guidance from the agent in real time. Initial observations from a preliminary user evaluation with ten participants suggest positive improvements across presence, trust, authenticity, engagement and decision confidence, highlighting the clear potential of AI-driven MetaHuman agent for immersive property exploration and brand engagement in real estate contexts.",

author = "Talukder, \{Md Golam Muttaquee\} and Iqbal, \{Muhammad Zahid\} and Olugbenga Akinade",

year = "2026",

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doi = "10.1145/3788851.3815040",

language = "English",

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pages = "548--552",

booktitle = "AI-Driven MetaHuman for Immersive VR Property Tours: Design and Early Evaluation",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

}

AI-Driven MetaHuman for Immersive VR Property Tours: Design and Early Evaluation. / Talukder, Md Golam Muttaquee; Iqbal, Muhammad Zahid ; Akinade, Olugbenga.
AI-Driven MetaHuman for Immersive VR Property Tours: Design and Early Evaluation. Association for Computing Machinery (ACM), 2026. p. 548-552.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - AI-Driven MetaHuman for Immersive VR Property Tours: Design and Early Evaluation

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AU - Iqbal, Muhammad Zahid

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AB - Property viewing and real estate decision-making are heavily dependent on spatial understanding and trust, which are difficult to establish through conventional digital media such as videos, photographs and floor plans. The rise of immersive technologies like Virtual Reality presents a new opportunity to transform how people explore and evaluate properties. This research presents a VR-based property tour system guided by an AI-driven MetaHuman agent capable of natural conversation, contextual awareness and socially aware movement. Developed in Unity and deployed on the Meta Quest 2 with the Convai conversational AI framework, users can explore a high-fidelity virtual apartment while receiving personalised, adaptive guidance from the agent in real time. Initial observations from a preliminary user evaluation with ten participants suggest positive improvements across presence, trust, authenticity, engagement and decision confidence, highlighting the clear potential of AI-driven MetaHuman agent for immersive property exploration and brand engagement in real estate contexts.

UR - https://doi.org/10.1145/3788851.3815040

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DO - 10.1145/3788851.3815040

M3 - Conference contribution

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BT - AI-Driven MetaHuman for Immersive VR Property Tours: Design and Early Evaluation

PB - Association for Computing Machinery (ACM)

ER -

AI-Driven MetaHuman for Immersive VR Property Tours: Design and Early Evaluation

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