How Hitachi is Using Artificial intelligence to Increase Worker Happiness

by July 5, 2016 0 comments

In recent years, increasing “happiness” has become one of society’s most important issues. In the corporate environment, a new style of management that will leverage the individuality and strengths of each employee to achieve even greater productivity is being sought.

Hitachi has announced the development of technology using artificial intelligence that automatically creates effective advice for raising the happiness of workers based on the behavioral data of each individual on a daily basis and the commencement of an internal trial with 600 participants from sales & marketing. More precisely, a name tag type wearable sensor collects the massive amount of individual behavioral data which is then analyzed using Hitachi AI*1 Technology/H (hereafter referred to as H), and used to create and deliver personalized advice on actions automatically, such as on communication in the workplace or time allocation that will contribute to raising individual happiness. This advice is delivered daily, and individual workers can check the daily advice on their smartphone or tablet, and choose to apply the advice in their daily activity.

Hitachi will integrate the results from this trial into the solution which it will provide to corporate and other organizations globally, to support increased productivity through a more active organization resulting from the increased happiness of workers.

Hitachi focused on and has been researching the inter-relationship of individual and organizational activity levels, sense of happiness and productivity.

In 2015, Hitachi developed measurement technology to determine the organizational activity level and happiness level strongly related to organizational productivity from behavioral data (distinctive patterns in physical movements) gathered by the wearable sensors.

For the new solution, Hitachi developed technology to create and deliver individually customized effective advice on a daily basis to raise the happiness of individual workers by segmenting the data collected through the wearable sensors for time periods and counterpart in communications, and in putting the data to H. The user is able to confirm each day on their smartphone or tablet, personalized suggestions regarding communication in the workplace or time allocation such as “Let’s try increasing short conversations (less than 5 minutes) with A” or “Mornings are better to meet with your boss, B”. By working on this advice, the happiness level of the individual increases, and with that, productivity is expected to increase. In consideration of privacy, the data is managed in a way that others cannot view an individual’s data.

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