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Understanding Emotion

It’s complicated

Everyone is familiar with the basic emotional labels like happy, sad, angry and surprised. But current psychological science claims that the experience of emotion is constructed from at least three key ingredients:

Internal sensations 
from our body

Information we collect from 
the external world

Mental representations from 
prior experience

Context is king

The same situation can elicit different emotional responses from one person to another, or from one hour to the next. The more you understand the surrounding context, the more accurate and realistic your measurements of emotion can be.

Measuring Emotion

For our system to measure the emotions of a user or group, we build a model of the surrounding context from a wide range of data and features. Depending on what sensors and information are available, the data input may include biometrics (eg. heart rate, breathing, voice, face), content (eg. social media text, emojis, survey results), environment (eg. location, motion, climate, time), and historical data about the user or group’s behaviour. Those inputs are synchronised and processed by our emotion AI engines, which are software packages that sense and measure the emotions of the situation based on scientifically validated psychological models. The system then provides an output of emotional scores and key moments, in real time.

Emotion in Artificial Intelligence

Smarter every day

Technology is finally becoming “smart” in ways that we appreciate in everyday life – helping us find what we’re seeking, organising our plans, providing us with entertainment and assisting us in learning. This is AI, Artificial Intelligence, and it’s everywhere now. But part of what sets us humans apart from computers is our ability to give an emotional context to our thoughts, to feel the mood of the situation so we can make better decisions in the moment. One of the great innovation challenges now is to teach machines to sense our moods: to give them empathy and emotional intelligence.

Empathic machines

Currently, AI can tell you the best route to your office from your house. AI can suggest new music you will probably like, or warn you when your bank balance is getting low. But imagine how systems like your car, your mobile, your house or your social media accounts might serve you if they knew what mood you were in. Only if AI is programmed to have some emotional intelligence can it start to make judgements that are optimised for your specific context, at each specific moment. This is why we build emotion AI solutions at Sensum.

Gary

“If you can elicit a positive emotional reaction from someone then they are more likely to want to form a bond with you.”

Dr Gary McKeown School of Psychology

The Potential of Empathic Systems

The value of emotion AI is hugely varied. For example, we have already helped globally renowned businesses apply emotion AI to:

Internal sensations 
from our body

Information we collect from 
the external world

Mental representations from 
prior experience

If used in the right way, our lives could benefit greatly from giving empathy to artificial intelligence. If used wrongly, things could quickly get creepy, and then down-right scary. That is why we are dedicated to building emotion AI that serves the user first, and does so transparently. Human emotions are underpinned by social attributes such as trust and judgement, and we believe that artificial systems must therefore abide by similar pro-social norms. Every project and product we create is designed to make things more useful, interesting or enjoyable for the end user.

The Future Is Emotional. The Future Is Sensum.

Integrate Emotion AI

Our API & SDKs enable you to measure and respond to your audience’s emotions in real time...