Cognitive Living Spaces by Using IoT Devices and Ambient Biosensor Technologies
Publikation aus Digital
Lecture Notes in Networks and Systems, vol 259. Springer, Cham https://doi.org/10.1007/978-3-030-80285-1_47, 7/2021
In the near future, our deeply connected and fully digitized physical facilities require cognitive processes that are embodied in a regular sensing of living environments. Pervasive sensor networks will enable the development of more efficient technologies that will integrate Artificial Intelligence based services better into psychosocial and human ecological contexts.
These innovative mixed and integrated biophysical and digital living spaces enable to use them more efficiently, conveniently, and, furthermore, to interpret these new intelligent environments in a completely different way. Based on the growing insight into relations between human beings and their surroundings, residents get an overview of their building ecosphere. They obtain the potential to develop strategies in context with intelligent buildings that are enabled to assist in changing behaviors in everyday life.
We study human factors, in particular, the potential of change in human behavior in such fully integrated services, strongly related to our living and work place in the case of home office. After using these sentient cognitive environments, we explore novel ways of interacting with living and work spaces by offering opportunities to give intelligent environments a virtual voice and representation via the digital data space. During the COVID-19 pandemic, people should pay more attention to their immediate living and working environment: it becomes more important to monitor the quality of the air to breathe, surroundings are made visible to get to know them better, cope better, enjoy them, etc.
The presented work provides in this context quantitative data from novel low-cost biosensors, such as for measuring carbon dioxide concentration distribution, highlighting the presence and attention of residents and their change in behavior within a sample living space, and also provides conclusions towards novel research pathways for integrating cognitive processes into a network of IoT devices and ambient biosensor technologies.
Keywords: Low cost biosensors, Data spaces, Cognitive living spaces