Every 10 years or so, the industry as a whole gets addicted to certain buzzwords and there is definitely a rational argument behind it. If we look at Gartner’s hype cycle for emerging technologies, the adoption curve ranges anywhere from 5 to 10 years. In the last 2 to 3 years, Cognitive and Affective Computing have picked up steam in the mainstream tech circle. The opportunities and use cases for cognitive or affective computing being so enormous, a few simple insights can help us understand quickly.
What is Cognitive Computing?
Cognitive computing relates to the implementation of systems that can simulate human thought process using computerized models like self-learning algorithms that use data mining, pattern recognition, and natural language processing.
Norbert Wiener is considered to be the founding father of cybernetics and was the early pioneer to discuss the idea of cognitive computing.
“The nervous system and the automatic machine are fundamentally alike in that they are devices, which make decisions on the basis of decisions they made in the past.” – Norbert Wiener, Mathematician & Philosopher
What is Affective Computing?
Affective computing relates to the study of design and development of systems that can detect, elucidate, process and respond to human emotions as it corresponds to sight, sound, motion, and touch. Emotion is a fundamental building block to human experience. However, it is mostly an afterthought when it comes to creating experiences and it often results in a frustrating experience for users.
Next Era of Computing
The first era of computing was in the last 40s with programming systems that can process the data in a structured manner for a specific purpose. The most common among them were the “mainframe computers” which are still being used by companies. The second era of computing started with the commoditization of computers which have now extended to smartphone and tablets that have come to define our social lives.
The new era of computing will be a combination of cognitive and affective computing where intelligent systems, integrated seamlessly into our daily lives that can understand and react according to our emotional and mental state.
From startups to established organizations we have seen an increased interest and adoption of cognitive computing and/or affective computing-based applications. It touches everything from natural language processing to facial emotion recognition. The technology is in an early stage and we expect the adoption to significantly ramp up in the next few years as organizations clamor to understand how users feel and perceive about their products.
Want to learn more about the use cases for affective computing? Or how we can help you identify and utilize user’s emotional response to improve your products? Let’s talk – Contact us today.
At Entropik Tech, we’re building a software that adds emotional interaction between consumers and products. We help translate human behavior and transform product experiences, by giving artificial intelligence the power to think from an emotional perspective with two products – AffectLab and Chromo.
And BTW we are named in the Gartner “Cool vendors in Artificial Technology in India, 2017”