Notes

Three levels of indoor environmental factors, including indoor temperature and low light, have been studied. A behavioral/ neurobehavioral test was proposed for the study of office workers. In this test, a field laboratory is built in an office building to imitate an actual office. All office employees are observed during work hours and observed for two weeks.
Many windows are installed in offices to let natural light in. 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. In this type of office environment, there is no artificial illumination. The primary effect of the indoor environment is the change in the ambient temperature.

Ambient temperature significantly changed over the two week period in the field lab. A mathematical model called the Adaptation Time Curve can be used to describe the effect of temperature on office workers' behavior and physical states. This model predicts how an object will change as a function of time and its altitude from the observation point. It can be used to predict temperature and light as well as any other quantity or class that is affected by 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. However, VASA is not sensitive to changes in indoor environmental quality and there are no means of measuring physical well-being as office workers productivity or motivation can only be observed 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. Likewise, poor airflow conditioner efficiency prevents heat from getting distributed to the interior surfaces. Air flow conditioners with lower efficiency results in increased levels of indoor temperature and hence poor indoor climate quality. Relative humidity directly influences the comfort ability of office occupants because high levels of humidity reduce perspiration.

The type of lighting in an office room can affect AFC efficiency. 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. If the indoor temperature is close to the outdoor temperature (T temp), then any difference in T temps will be small.

포항오피 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 reduce the temperature difference between the A/C environment and the outside environment. This improves the indoor environment's quality.

Office workers performance and motivation largely depend on their perception of their environment. This perception can be measured by paying attention to the quality of the indoor environment. 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.

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