Embedded Files
Happimetrics tracks emotions between humans, and humans and other species (plants, animals). It uses AI by analyzing interaction among humans – from online social media to body sensing - and predicting their emotions through machine learning. Knowing what makes you happy will make you happier! Analyzing people’s communication patterns and making them self-aware by mirroring their behavior back to them in a privacy-respecting way will increase individual happiness and team performance.
The Happimetrics book can be obtained here
Draft book manuscript
Website
Happimetrics takes three steps to building happiness and better performance through groupflow, starting withhow to create happiness by analyzing communication, how to measure happiness, and how to optimize communication for more happiness and better teamwork by mirroring back the measurements to the individual.
1. Understand the basic concepts of groupflow – when teams collaborate at their best through intrinsic motivation and positive stress
2. Understand how analyzing your own communication behavior through virtual mirroring increases business performance and individual satisfaction
3. Understand how to build “entangled” teams by measuring synchronicity among team members using AI (artificial intelligence), SNA (social network analysis), and time series analysis.
Features for machine learning can be computed in 6 different ways:
1. Social network analysis – Griffin, SocialCompass
2. Natural language processing – tribes, BERT for emotions
3. Face emotion recognition – Moody, individual faces
4. Voice emotion recognition – MFCC audio analysis
5. Body signal emotion recognition - happimeter smartwatch
6. Plant sensor emotion recognition – BYB plant spikerbox
Happimetrics is based on 20 years of research from our MIT Collaborative Innovation Networks (COIN) project on leadership, creativity, team building, and positive psychology published in over 250 peer-reviewed scientific papers and hundreds of industry and research projects our team conducted on individual and organizational creativity and performance.
Page updated
Google Sites
Report abuse