I love combining technologies and services because this is a great and inexpensive way for companies to expand their businesses and for users to have a better experience. Awair has developed a great B2B air quality monitor the OMNI (hardware) and Djinn has developed a great B2B service (software) that combined together may offer better AQ insights or in other words, they contextualize data.
So I took the liberty to use the API Awair provides to its users and integrate it into Djinn’s platform. The reason is simple, Awair measures a plethora of parameters (temperature, humidity, PM2.5, VOC, CO2, noise, and light), and Djinn provides better insights into the impact those various indoor environmental parameters have on our health, like cardiovascular health risk and allergy risk. However, they also provide the productivity index which estimates the quality of the indoor environment with regard to the influence on productivity.
In real-life situations (offices, classrooms, etc) low-quality indoor environments may result in productivity drop up to 10% and more. Often in such cases, indoor environment quality is not comprehended by a person during the work process. The productivity index is based on research by cognitive scientists from various Universities.
According to the researchers, Human Decision Making Performance may be divided into different cognitive functions. Djinn service is able not only to estimate a general level of productivity, called Integral Productivity Index (IPI) but specify it for 9 cognitive activity areas based on research. An IPI is calculated as the average of all 9 directions. Those different models allow you to tune indoor parameters for optimal productivity according to your needs.
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