3 Ways companies are using Emotion Detection technology22 January 2019
Understanding and predicting human emotions is no longer a fantasy.
With the recent technological advancement in computer vision technology, face analysis algorithms have grown powerful enough to be able to analyze various facial expressions, measure emotions and estimate mood. The emotion detection and recognition technology market is booming and exploding with investment. The market is predicted to grow to $65 billion by 2023. But what is Emotion Detection exactly and how are companies using this technology? Let’s discuss?
A large amount of the customer experience is emotional and emotions are what drive customers to buy. Learning about how customers feel has become a priority in business, informing everything from product development to marketing and customer service. It’s essential that companies stay mindful of the customer perspective as they make crucial decisions. Adopting emotion detection technology into your business processes is the key to tapping into this perspective.
Emotion Detection is a technique used to read the emotions on a human face by using hi-tech image processing software. The program can recognize emotions, such as anger, sadness, fear, joy, disgust, surprise, trust, and so on. The most common and spontaneous way to identify emotions is via facial detection in photos and videos.
3 Ways companies are using Emotion Detection
Market Research – In the film industry, market research is generally qualitative and the data that is collated from surveys, reviews, and post-screening reactions is usually done manually. Some film companies, however, are taking advantage of emotion detection software and are using it to determine how moviegoers are enjoying their films. They do this by letting the software capture people’s faces and track facial behavior using infrared cameras during movie screenings.
All this is done in real-time which generates reliable data, helping movie production companies get a more accurate picture of audience responses. Ultimately, what these companies get out of this, is greater insight into what provokes an emotion.
Digital Advertising – Many of the most successful marketing campaigns and initiatives are focused on eliciting emotions. This is how companies or brands connect with their audiences. Digital marketing professionals are leveraging the power of emotion detection to understand the emotions of their potential customers to improve customer experiences and to create a lasting bond.
To begin with, analyzing various facial expressions and behavior can help to figure out the emotional state of a customer. This, subsequently, helps to recommend products that will satisfy the customers’ requirements and expectations. When your content or brand can connect with prospective buyers emotionally, it will drive them to make a purchase. Hence, it will boost your business.
Furthermore, being able to adjust marketing dynamically, based on the real-time responses of your audience, will empower marketers to provide the right message at the right time to the right person.
One-on-one Interviews – Companies are not only using emotion-detection technology for consumer-facing applications. Some employ this technology to screen prospective candidates based on factors like body language and mood. In doing so, a company is able to find the person whose personality and characteristics are best suited to the job.
By analyzing body language and facial expressions, the algorithm can predict how the candidate might react or behave in certain situations. It also can pick up whether or not a candidate is being truthful, as well as their general confidence levels based on how emotions change during responses. Ultimately disposing of prolonged hiring processes.
The future of Emotion Detection
The opportunities made possible by extend far beyond market research, digital advertising and conducting interviews.
Healthcare is another industry that could benefit from this technology. Because detection software is AI-powered, it could potentially help determine when patients need medicine or to help doctors prioritize who to see.
Another is the automotive industry. In the manufacturers’ quest to build smart cars, it makes sense for them to use AI to assist them in understanding human emotions. Emotion detection software in cars can enhance the overall user experience while also improving car safety. If a car is smart enough to detect the emotional state of a driver, it can help prevent accidents by sending signals to the driver to stop the car or apply breaks. It can even go as far as to suggest music based on the driver’s mood or change the temperature for the better.
Through computer vision and deep learning, we can analyze faces in images, videos, and in real-life environments. Our advanced AI Software solutions empower industries like retail and digital signage with real-time actionable insights that help business understand their customers.