Study climate april 2, 2019 – Posted in: Portfolio

Study climate is a system created in a master course: “Construction of interactive system”.

Our system makes it possible to measure the indoor climate that the user sits in and give the user feedback on respectively; temperature, humidity, gas level and light level. The system is intended for students to ensure that they have the best learning conditions. The motivation for constructing such a system lies in the increasing awareness of the influence of the indoor climate on learning. Most students can recognize that one is a study group gathered in a smaller room and works. After a while, you need a break, and after you have been outside and return to the room you discover how bad the air quality has really become. Studies show that learning in a poor indoor climate is estimated to impair the student’s performance with proven up to 6%, but is expected to degrade much more (

We created the system using following methods:

Prototyping and ubiquitous computing.

And the following technologies:

JavaScripts, Node.js, WebSockets, Arduino and Johnny Five Framework.

How the system works

The system works by sending data from an Arduino with connected sensors to a server that can be accessed from a client connected to the system. The system is then minimized and the user can start other work on the client. If the sensors detect problematic values, the user receives feedback in the form of a push notification that contains the relevant information and how the problem can be addressed: “The temperature is too low. Turn up the heat ”. Since the system sends desktop notifications, the user does not need to access the page directly ever. However, if you wish, you can access the system’s dashboard for more information. Here the user can get further feedback on the system in the form of a traffic light, which gives the study environment a red, yellow or green light based on data from the different sensors. If you want more information, you can access graphs in the system that show live data from the sensors. Interaction between
Our system does not seek to solve the problem with the indoor climate, but will give the student the opportunity to act based on feedback on the indoor climate. It could be to open the window, adjust the light, turn the temperature up or down, or maybe find another place to study.