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Total: 4 records, 1 pages

Global Affective Computing Solutions Supply, Demand and Key Producers, 2024-2030

date 20 Feb 2024

date Service & Software

new_biaoQian Affective Computing Solutions

The global Affective Computing Solutions market size is expected to reach $ 1838.9 million by 2030, rising at a market growth of 11.5% CAGR during the forecast period (2024-2030).

USD4480.00

Add To Cart

Add To Cart

Global Affective Computing Solutions Market 2024 by Company, Regions, Type and Application, Forecast to 2030

date 10 Jan 2024

date Service & Software

new_biaoQian Affective Computing Solutions

According to our (Global Info Research) latest study, the global Affective Computing Solutions market size was valued at USD 859.2 million in 2023 and is forecast to a readjusted size of USD 1838.9 million by 2030 with a CAGR of 11.5% during review period.

USD3480.00

Add To Cart

Add To Cart

Global Affective Computing Solutions Supply, Demand and Key Producers, 2023-2029

date 18 Mar 2023

date Service & Software

new_biaoQian Affective Computing Solutions

The global Affective Computing Solutions market size is expected to reach $ 1838.9 million by 2029, rising at a market growth of 11.5% CAGR during the forecast period (2023-2029).

USD4480.00

Add To Cart

Add To Cart

Global Affective Computing Solutions Market 2023 by Company, Regions, Type and Application, Forecast to 2029

date 08 Jan 2023

date Service & Software

new_biaoQian Affective Computing Solutions

Affective computing (also known as artificial emotional intelligence, or emotion AI) is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. While the origins of the field may be traced as far back as to early philosophical inquiries into emotion (“affect” is, basically, a synonym for “emotion.”), the more modern branch of computer science originated with Rosalind Picard’s 1995 paper on affective computing. A motivation for the research is the ability to simulate empathy. The machine should interpret the emotional state of humans and adapt its behavior to them, giving an appropriate response for those emotions. Affective computing technologies sense the emotional state of a user (via sensors, microphone, cameras and/or software logic) and respond by performing specific, predefined product/service features, such as changing a quiz or recommending a set of videos to fit the mood of the learner.

USD3480.00

Add To Cart

Add To Cart

industry 20 Feb 2024

industry Service & Software

new_biaoQian Affective Computing Solutions

The global Affective Computing Solutions market size is expected to reach $ 1838.9 million by 2030, rising at a market growth of 11.5% CAGR during the forecast period (2024-2030).

USD4480.00

addToCart

Add To Cart

industry 10 Jan 2024

industry Service & Software

new_biaoQian Affective Computing Solutions

According to our (Global Info Research) latest study, the global Affective Computing Solutions market size was valued at USD 859.2 million in 2023 and is forecast to a readjusted size of USD 1838.9 million by 2030 with a CAGR of 11.5% during review period.

USD3480.00

addToCart

Add To Cart

industry 18 Mar 2023

industry Service & Software

new_biaoQian Affective Computing Solutions

The global Affective Computing Solutions market size is expected to reach $ 1838.9 million by 2029, rising at a market growth of 11.5% CAGR during the forecast period (2023-2029).

USD4480.00

addToCart

Add To Cart

industry 08 Jan 2023

industry Service & Software

new_biaoQian Affective Computing Solutions

Affective computing (also known as artificial emotional intelligence, or emotion AI) is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. While the origins of the field may be traced as far back as to early philosophical inquiries into emotion (“affect” is, basically, a synonym for “emotion.”), the more modern branch of computer science originated with Rosalind Picard’s 1995 paper on affective computing. A motivation for the research is the ability to simulate empathy. The machine should interpret the emotional state of humans and adapt its behavior to them, giving an appropriate response for those emotions. Affective computing technologies sense the emotional state of a user (via sensors, microphone, cameras and/or software logic) and respond by performing specific, predefined product/service features, such as changing a quiz or recommending a set of videos to fit the mood of the learner.

USD3480.00

addToCart

Add To Cart