Top 6 Trends of Emotion Analytics and its Uses at Multiple levels

Enterprises at multiple levels are using tools which can read human emotions by analyzing by voice, gesture and face inputs. Emotion analytics records and examines an individual’s verbal and nonverbal interactions based on moods and situation using different human emotions like happiness, anger, surprise, sadness, fear and disgust.

Internet combined with IoT have given scope to people to express their emotions and feelings using text messages and likes & dislike through social media.

According to Infoholic Research, the Worldwide Emotion Analytics Market is estimated to witness a CAGR of 82.9% during the forecast period 2016–2022. Such growth of this market is due to high end benefits that emotion analytics offers to the enterprises. Prior to understand the trends, let us view the benefits of emotion analytics:

Benefits of using emotions analytics:

  • Helps television channels to measure and analyze their viewership patterns.
  • Helps to study human behavior at public places like malls, music events and sports arenas creating an extra layer of security protecting and detecting any malicious activities.
  • Helps to study buying behavior at shopping counters and virtual shopping portals.
  • Helps in product and service customization.

Different emotions analytics trends and their implementations:

Trend #1: Monitoring the expressions of advertisement viewers

Emotion analysis are used by advertisement companies to check and test the effectiveness of their ads. Viewers are monitored and their expressions are analyzed to see whether they are exhibiting the right emotions as per the intended response for an advertisement.

Trend #2: Help to know the potential success of new programs

Media companies are constantly using emotion analytics tools to know the viewer’s response to their programs’ software analysis how much relaxed the viewers are when watching the program and what are their different expressions to particular scenes during the course of a program. 

Trend #3: Developers own the Product lifecycle

The development team is involved throughout the entire product lifecycle. As DevOps tools allow continuous delivery and improvement; developers are more accountable and share ownership of the software and solutions. This reduces the traditional silos between operations and developers. 

Trend #4: Optimizes buying behavior

Retail stores are providing shopper with portable eye tracking glasses which observe and collects data regarding shopper’s buying pattern. It also helps to know in which items the shoppers are interested and help to make changes in the outlet. This information further allows retailers to optimize their display order and keep a check to recognize dissatisfaction with the customers and the reasons for it.

Trend #5: In build emotions analysis software in games

Gaming companies are developing software which can detect expressions while playing games on Xbox like happy neutral or scared. The software helps to analyze different behavior pattern by creating an immersive environment which helps to study different emotions. 

Trend #6: Law Enforcement and Security Agencies banking heavily on it 

Law enforcement agencies are enabling a computer software which can analyze nonverbal expressions on video which will help to make legal judgments. The software analysis and provides sufficient accuracy by correlating facial expressions with deception and gives output considering the legal needs.

Emotional intelligence is evolving at a quick pace. It will be extensively used to analyze in which situation are people are most emotionally vulnerable. In the coming time there will be targeted ads that not only respond to demographic related information but will also record and analyze current emotional state.

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