Develop models for the operationalization of human cognition by means of external stimuli and behavioral responses
Identify core metrics that play central role in human cognitive-behavior such as facial (micro/macro) expressions, cognition and workload, motivation, attention, arousal and valence. Objective is to improve workplace interaction performance.
Organize and collect the key available strategic business metrics and means to collect them for improved organizational performance.
Use ML to make sense out of the data
Use ethically aligned design (EAD) principles to implement the PoC
In the PoC phase, we experimentally showcase the results in a real working environment with a prototype (business data case) and a sensor setup (human cognition case)