A behavioral framework for capturing emotional information in an internet of things environment

Life in modern societies implies a close relationship with many types of devices. The diversity of such devices has impact in diverse areas of our life as some provide support for management tasks, others just provide information, and most of them follow us anywhere and anytime. The more widespread example is mobile phones, but others also follow us, like our music devices or even our car with many electronic systems. In a recent past a phone was something to talk with others and a car was just a vehicle, with an engine, to allow displacement of people and goods. A phone would support voice conversation and a car had the equipment needed to take us to some destination. But these days all those devices and vehicles have computer equipment and some include complex functions and sensory abilities. We cannot question how useful those devices are for every day's activities but it is questionable how those devices respect our nature and address our needs of perceptive and emotive human beings. How far can those devices retrieve information about our nature, and our feelings, and what kind of information and reasoning those devices can provide to users? The proposed framework, by capturing and managing sensorial and physiological information, will feed information that enable the reasoning of emotional knowledge in an IoT environment.