Project Hansei

An emotional design theory based on machine learning and project jacquard by Google to make the best speaker and listening experience.

Transcript

1. PROJECT HANSEI An emotional design theory.
2. The current state of human-computer interaction.
3. Digital assistants are contextually aware and capable, but dull to human emotions. That's great. OK Google, I'm feeling happy!
4. The future of human- computer interaction:
5. Empathic artificial intelligence.
6. In the near future, AI will be able to help us with anything we ask it to, and artificial interpretation of human emotion is necessary for more organic interactions between people and computers. To achieve this, we need a device to introduce the idea of empathic AI to the world.
7. Music discovery is a perfect starting point for introducing emotionally intelligent computing.
8. Last year was the year of content.
9. This year is the year of discovery.
10. - John MacFarlane, CEO, SONOS Now that you have access to 150m tracks, what the hell do you play? The app is still way too hard to use. How do we make a morning playlist for you that just delights you? Oh man, we have so much to do. “ ”
11. Music makes powerful experiences.
12. But too much music can be overwhelming.
13. How can we find music that’s just right?
14. We envisioned a method to capture emotions through drawing and using that insight to play the right music for the mood.
16. The initial concept. Through Jacquard, we reduced the interface to a single intuitive surface while enhancing usability and experience.
17. Relaxation Playlist
18. Anger Playlist
19. Why we want to use Jacquard. Jacquard is the perfect instrument for this system. It has all the capabilities of a touch screen without the visual clutter, yet it is more satisfyingly tactile and tangible than any digital interface.
20. It is somehow getting the technology out of the way and making interaction more natural and more seamless. — João Wilbert, Google ATAP
21. How it will work. TRANSLATING MOTION INTO EMOTION A massive machine-learning database of gestural drawings will be mapped to emotions and correlated to relevant music.
22. Powered by people. VELOCITY, SPORADICNESS, CURVE LINEARITY, SEGMENT QUANTITY, TRANSITION SMOOTHNESS There are countless human metrics to be recorded and analyzed, and the ability to learn over time will increase accuracy and satisfaction with use. This is where Hansei gets its name.
23. Jordan Scott jnscott314@gmail.com http://jrdnsctt.com Jon Lau jonlaucreative@gmail.com http://jonlaucreative.com