Well-being and comfort of ageing people based on indoor environmental conditions: preliminary study on human-coach conversation

This paper presents a scientific methodology to define human-coach conversation for ageing people through virtual coaches by using indoor environmental quality (IEQ) measurements and Knowledge Graphs (KG). The impact of IEQ, i.e., acoustic, thermal, visual comfort and air quality, specifically for ageing people, is provided to define the use-case focused on improving the well-being and comfort of users starting from the environmental measurements. The sensor network to measure the IEQ in the living environment is composed of an air temperature and humidity sensor, acoustic sensor, CO2 sensor, lux meter, etc. A KG is developed, based on these measurements, in order to define a data-driven conversational strategy between the virtual coach and the user at home. An example of KG is presented to define how the measured parameters in the living environment can affect the human-coach conversation.