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(Wireless-NewsWire.Com, September 10, 2018 ) Global Affective Computing Market Forecast to 2023
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 can be applied through wearable system, human machine interface, surveillance system and robotic system. This technology finds its application mainly in autonomous or e-learning system where presentation style of an affective computerized tutor can be changed depending upon the learner’s response. Affective computing is expected to find its application mainly in artificial intelligence as it can help in strengthening machine – human relationship. It can be used as an additional tool in counseling or physiological services which help in determining patient’s metal state.
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Top Manufacturers: IBM, Microsoft, Eyesight Technologies, Affectiva, NuraLogix, gestigon, GmbH , Crowd Emotion, Beyond Verbal, nViso, Cogito Corporation, Kairos
Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
Touch-Based
Touchless
Market Segment by Applications, can be divided into
Market Research
Healthcare
Media & Advertisement
Automotive
Others
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Due to increasing use of smart phones and connected devices, consumer centric businesses are finding new ways to stay ahead in competition by using computing technology. The application of focus group and survey do not provide accurate emotional state of an end-user related to a specific product. Further, their responses may be biased depending upon the surrounding conditions. The emotional state of a consumer can trigger his/her engagement with the brand or product and affect the decision making to buy the product. Therefore, knowing the real-time emotional state can help the businesses to sell their product and thereby increase revenue. Affective computing is a technology which helps in recognizing human decision making through analyzing facial expressions, heart rate, voice and other body parameters.
Affective computing combine’s cognitive science, psychology and computer science to predict the emotional state of human beings and provides appropriate response to get a favorable outcome. This can help businesses and e-commerce sector to enhance the customer shopping experience and thus sell products effectively. It can also be used in online advertising and advertising kiosk to provide favorable advertisement depending upon the end-user’s emotional state. Affecting computing includes use of emotion analytics engine, machine intelligence, big data and sensors such as camera, head up display to collect and analyze the customer emotion. It also includes software for speech and facial recognition, gesture recognition and neural analytics.
Table of Content:
1 Market Overview
2 Manufacturers Profiles
2.1 IBM
2.1.1 Business Overview
2.1.2 Affective Computing Type and Applications
2.1.2.1 Type 1
2.1.2.2 Type 2
2.1.3 IBM Affective Computing Sales, Price, Revenue, Gross Margin and Market Share (2016-2017)
2.2 Microsoft
2.2.1 Business Overview
2.2.2 Affective Computing Type and Applications
2.2.2.1 Type 1
2.2.2.2 Type 2
2.2.3 Microsoft Affective Computing Sales, Price, Revenue, Gross Margin and Market Share (2016-2017)
2.3 Eyesight Technologies
2.3.1 Business Overview
2.3.2 Affective Computing Type and Applications
2.3.2.1 Type 1
2.3.2.2 Type 2
2.3.3 Eyesight Technologies Affective Computing Sales, Price, Revenue, Gross Margin and Market Share (2016-2017)
3 Global Affective Computing Sales, Revenue, Market Share and Competition by Manufacturer (2016-2017)
4 Global Affective Computing Market Analysis by Regions
5 North America Affective Computing by Countries
6 Europe Affective Computing by Countries
7 Asia-Pacific Affective Computing by Countries
8 South America Affective Computing by Countries
9 Middle East and Africa Affective Computing by Countries
10 Global Affective Computing Market Segment by Type
11 Global Affective Computing Market Segment by Application
12 Affective Computing Market Forecast (2018-2023)
13 Sales Channel, Distributors, Traders and Dealers
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