Emotional and Physical Impact of Lighting Quality Parameters and Characteristics on Humans in Different Visual Environments

Kočanovs, Ņikita; Kočanova, Raja; Bogodistaja, Olesja

doi:10.1515/bjreecm-2017-0018

Cited by 1 publication

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“…Productivity is defined as the behavior of a human that serves their personal wellbeing and the development of related groups. "It is measured by the rate of the output per unit of input" [13]. In other words, a person measures their productivity according to the success they achieve on a task after a specific amount of effort.…”

Section: Light and Productivitymentioning

confidence: 99%

Classification of Lighting Design Aspects in Relation to Employees’ Productivity in Saudi Arabia

Najjar

Akkad

Almahdaly³

2023

Sustainability

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Though the average employee spends a third of their day inside an office, designing a productive workspace can be challenging for designers. However, lighting design is a critical factor for the wellbeing of the employee. With the increasing number of local and international companies opening in Saudi Arabia, it is important to study the effect of natural and artificial lighting on the productivity of employees in the office environment. It is essential to consider that employee productivity leads to economic productivity. A questionnaire was shared with the employees of the head office of Ensan Charity for Orphans Care to collect data on the preferences of staff on the current lighting design in their offices. Office design is one of the most important aspects in need of special attention, since employees spend more than eight hours daily at their offices. Lighting design is one of the key aspects of office design that has a direct impact on employees’ satisfaction and productivity. The aim of this study was to discover employees’ preferences for office design in Saudi Arabia. The collected data are analyzed to uncover employee preferences as well as to predict two key design aspects using machine-learning techniques. The two design aspects of concern are direct sunlight in the office environment and manual control of light intensity. This research aimed to help improve the design of the office environment according to employees’ preferences and international standards through investigating sustainable lighting design elements. A further challenge to be overcome was the need for further data collection as it relates to the two design aspects mentioned above. This paper demonstrates relatively high prediction accuracies of the mentioned design considerations using a variety of machine-learning algorithms.

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Section: Light and Productivitymentioning

confidence: 99%