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Three levels of indoor environmental factors, including indoor temperature and low light, have been studied. For the study of office workers, a behavioral/ neurobehavioral test has been proposed. To imitate an actual office, a field lab is constructed in an office building. All office employees are monitored during work hours and for two weeks.
An office building is equipped with many windows to allow natural light into the office. This type of natural lighting provides the best visual effect for office workers since it simulates natural sunlight. The field laboratory is located inside the office building during the observations. One bright window is placed in front of the office. This office environment does not have artificial lighting. The indoor environment's primary effect is the temperature change.


Ambient temperature significantly changed over the two week period in the field lab. The effect of temperature on the behavior and physical state of office workers can be described using a mathematical model called the Adaptation Time Curve (ATAC). This model predicts how an object's behavior will change depending on time and altitude. It is based on observations at the observation point. It can be used for temperature and light, and for any other quantity or class of quantity which is a change of the input over time. For temperature, the ATA curve predicts a U shaped pattern where a rapid change from bright to dark, or from cold to hot occurs.

The field lab is not equipped with offices so office workers' physical well-being cannot be measured using a self-paced visual analog scale. VASA isn't sensitive to indoor environmental quality changes and therefore cannot be used to measure physical well-being. Office workers productivity and motivation can only then be measured using objective parameters. The Performance Level Index (PLI) can be used to measure office workers' performance and motivation.

When measuring indoor environment quality, there are four factors we take into consideration. These factors are total lighting intensity, background temperature, air flow conditioner (AFC) efficiency, and relative humidity (R). Total lighting intensity and background temperature directly influence the ALC efficiency because low levels of illumination prevent the heat conduction from the central cooling fan to the interior surfaces of the room. Poor airflow conditioner efficiency also prevents heat from reaching interior surfaces. Air flow conditioners with lower efficiency results in increased levels of indoor temperature and hence poor indoor climate quality. Because humidity levels are low, perspiration is reduced and office occupants feel more comfortable due to the effect of relative humidity.

AFC efficiency is affected by the type of illumination in an office room. Bright illumination has a significant effect on the heat conduction efficiency. It may be difficult to see the significant impact of lighting on ALC in offices. The difference in light intensity and ambient temperature could be the cause of observed differences. https://www.hangugop.com/ilovebam If the indoor temperature is close to the outdoor temperature (T temp), then any difference in T temps will be small.

AFC is a powerful tool for improving the office air quality. It can improve office work performance by regulating indoor temperature, humidity, and the ALC reaction. It can also help reduce the temperature differential between the A/C and the external environment. This improves the indoor environment's quality.

The perception of the environment is a key factor in office workers' motivation and performance. They can measure this perception by observing the different aspects of the indoor environment quality. Indoor illumination can be a significant factor influencing office workers performance and motivation. This motivational effect of lighting was measured using a psychological battery. The test battery consisted a simple questionnaire that asked office workers to answer questions about their motivation to work and how they feel about working.

Read More: https://www.hangugop.com/ilovebam
     
 
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