A comprehensive literature review of personalised indoor comfort : artificial intelligence approaches and applications

Tools

Sun, Shiyi and Li, Haijiang and Khudhair, Ali; Moreno-Rangel, Alejandro and Kumar, Bimal, eds. (2025) A comprehensive literature review of personalised indoor comfort : artificial intelligence approaches and applications. In: EG-ICE 2025. University of Strathclyde Publishing, GBR, pp. 461-474. ISBN 9781914241826 (https://doi.org/10.17868/strath.00093251)

[thumbnail of Sun-etal-EG-ICE-2025-A-comprehensive-literature-review-of-personalised-indoor-comfort]
Preview
 Text. Filename: Sun-etal-EG-ICE-2025-A-comprehensive-literature-review-of-personalised-indoor-comfort.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo
Download (5MB)| Preview

Abstract

With the rising demand for human-centric and energy-efficient indoor environments, Artificial Intelligence (AI) has emerged as a transformative tool for enhancing personalised comfort in buildings. This review synthesises findings from 90 peer-reviewed studies published between 2008 and 2024, focusing on AI applications across four primary comfort dimensions: Thermal Comfort (TC), Indoor Air Quality (IAQ), Acoustic Environment (AE), and Visual Comfort (VC). Results reveal a significant research disparity, with 97.75% of studies focusing solely on TC, leaving IAQ, AE, and VC untapped. While AI techniques, such as Artificial Neural Networks (ANNs), Support Vector Machines (SVMs), and Random Forests (RF), demonstrate high predictive accuracy for TC, integrated, multidimensional comfort models remain scarce. Key gaps include cross-domain modelling, context-specific adaptation, integration of physiological and psychological indicators, and privacy-aware AI deployment. This study proposes a multidimensional framework that fuses environmental and personal factors to support holistic comfort modelling. It presents strategic insights for developing inclusive, adaptive, and privacy-conscious AI-driven comfort systems, guiding future research and practical implementation in the built environment.

  • Item type:Book Section
    ID code:93251
    Dates:
    Date
    Event
    1 July 2025
    Published
    9 June 2025
    Accepted
    Subjects:Fine Arts > Architecture
    Department:Faculty of Engineering > Architecture
    Depositing user: Pure Administrator
    Date deposited:27 Jun 2025 10:35
    Last modified:19 May 2026 00:36
    URI:https://strathprints.strath.ac.uk/id/eprint/93251
CORE (COnnecting REpositories)