Affective Computing Market

  • The Insight partners has announced the addition of the Affective Computing Market 2027 by Types, Application, Technology, Opportunities, End Users and Regions report to their offering.

  • Affective Computing Market – Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2018 – 2023 Analysis by Top 25 International Companies

  • Global Affective Computing market research report 2019 get in depth study about the new development and recent trends of Affective Computing in China the report also reveals general situation of the industry and future forecast.

  • The Affective Computing Market Report Analysis of upstream raw materials, downstream demand and the current market scenario is also carried out.

  • ReportsWeb newly added the Global Affective Computing Market Report that gives meticulous investigation of current scenario of the Market size, share, demand, growth, trends, and forecast in the coming years.

  • In 2018, the global Affective Computing market size was 200 million US$ and it is expected to reach 3530 million US$ by the end of 2025, with a CAGR of 43.2% during 2019-2025.

  • 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.

  • 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. Affective Computing aspires to reduce the distance between human emotions and machines by developing computational systems that recognize, response, and express emotions.

  • Global Affective Computing Industry 2018 Market Research Report added by OrianResearch.com to its vast repository provides important statistics, analytical and comparative data to give a complete understanding of the market Share, Size, Growth, Rising Trends and Cost Structure analysis.

  • 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 (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 (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.