Mihkel Jäätma | 6 June 2015 | Oxford

As big data and machine learning increasingly permeate our daily lives, data-driven decision making in all things – from job applications, credit ratings, dating, health and wellbeing – is fast becoming the new default, whether we want it or not. Emotion measurement allows us to bring in an essential human element to all this data – making those decisions better and fairer for everyone.

The applications of emotion measurement technology are many, ranging from business to gaming, education, health, and even government amongst others. Education is increasingly assisted by software that would perform better if there was an emotional understanding of the individual student, for instance. Personal health is already the focus of several 'quantified self' apps - but in addition to the miles you ran and the calories you burnt, they can and will also monitor your mental health, stress and happiness levels. Even country level governance is paying more attention to the human dimension, with countries like Bhutan pioneering the concept of Gross National Happiness over the traditional GDP. Emotion technology is supplying the emotional intelligence in traditional analytics. 

As part of TEDxOxbridge's 'Ideas to Impact' event, Mihkel will be discussing how emotion measurement enables us to better measure and understand the human mind, in a useful, practical way that allows our increasingly data-driven world to take into account that intangible ‘human’ element.