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Article
Publication date: 15 November 2021

Amit Kaushik, Mohammed Arif, Obas John Ebohon, Hord Arsalan, Muhammad Qasim Rana and Lovelin Obi

The Purpose of this paper is to identify statistical relationships between visual environment and occupant productivity. Visual environment is one of the most important…

Abstract

Purpose

The Purpose of this paper is to identify statistical relationships between visual environment and occupant productivity. Visual environment is one of the most important indoor environmental quality (IEQ) parameters, and it directly impacts occupant productivity in offices. The literature outlines the significance of the impact. Still, there is a lack of investigation, statistical analysis and inter-relationships between the independent variables (IEQ factors), especially in the hot and arid climate.

Design/methodology/approach

This study presents a research study investigating the effects and shows statistical relationships between IEQ on occupant comfort and productivity. The study was conducted in the Middle East, and data was collected for 12 months. It used the response surface analysis to perform analysis.

Findings

This study outlined seven unique relationships highlighting the recommended range, inter-dependencies. Results include that illumination has maximum effect on visual comfort and temperature, daylight having direct influence and relative humidity, wall type next to the seat and kind of workspace also impact visual comfort and productivity. These findings would help to improve occupant comfort and productivity in office buildings. It is recommended to include results and recommendations on design guidelines for office buildings.

Originality/value

This study presents the unique effects of non-visual IEQ parameters on visual comfort and productivity. This investigation also provides a unique method to develop the statistical relationship between various indoor environmental factors and productivity in different contexts and buildings.

Details

Journal of Engineering, Design and Technology , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1726-0531

Keywords

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