What is Affective Computing?
What is
Affective Computing?
Affective Computing is a field of research where
Psychology, Cognitive Sciences, and Computer Science intersect.
Also known as Emotional Artificial Intelligence,
Affective Computing leverages AI to gain insights into Human cognition.
An Interdisciplinary Concept
An Interdisciplinary
Concept
Affective Computing draws from diverse disciplines:
Psychology, Neuroscience, Cognitive Science, and Sociology.
Psychology
Psychology is the scientific field that focuses on studying the body of knowledge on mental phenomena, behaviors, and cognitive processes.
Neuroscience
Neuroscience is the scientific study of the function and structure of the nervous system, spanning from the molecular level to that of organs such as the brain, and even the entire organism.
Cognitive Science
Cognitive Science aims to describe, explain, simulate, or even amplify the core dispositions and abilities of the human mind, including language, reasoning, perception, motor coordination, planning, decision-making, emotion, consciousness, culture, and more.
Sociology
Sociology is a field within the social sciences that seeks to explain observable phenomena by focusing on social factors rather than mental or biophysical aspects.
A High-Demand Market
A High-Demand
Market
ETSEME aims to meet the undeniable demand for innovative solutions to bolster the human factor at work.
Industry 5.0 :
A Growing Sector
Industrial and technological transformation is gaining momentum as part of various government stimulus plans, especially in France.
As a result, Industry 5.0 is a promising market for providers of affective computing solutions like ETSEME.
Our product will seamlessly integrate in real time with industrial activity monitoring solutions to enhance productivity or mitigate the risk of accidents.
Industry 5.0 :
A Growing Sector
Industrial and technological transformation is gaining momentum as part of various government stimulus plans, especially in France.
As a result, Industry 5.0 is a promising market for providers of affective computing solutions like ETSEME.
Our product will seamlessly integrate in real time with industrial activity monitoring solutions to enhance productivity or mitigate the risk of accidents.
R&D as a
Differentiating Asset
Market growth is shaped by the research and development expertise of companies and affiliated research laboratories.
The ability of stakeholders to provide tailored solutions and to implement more accurate algorithms boosts confidence in this type of solutions.
R&D as a
Differentiating Asset
Market growth is shaped by the research and development expertise of companies and affiliated research laboratories.
The ability of stakeholders to provide tailored solutions and to implement more accurate algorithms boosts confidence in this type of solutions.
A rapidly growing market
Annual growth rate
According to a study by Emergen Research, the annual growth rate of affective computing is estimated to be 32.5% from 2020 to 2028, reaching a market value of USD 285 billion by 2028.