Final Presentation for Calming Tech Proj 1

Transcript

1. Lime Time Botao Hu (CS/data mining) Attila Mong (journalist) Megha Makam (neuro/music) botaohu@stanford.edu among@stanford.edu makam@stanford.edu BAM created by chrome extension
2. You have 3 minutes. Which email do you open ?
3. Email processing takes an unknown amount of time 9 interviews with students and knowledge workers with busy schedules they all receive large amounts of emails daily Uncertainty !!! {Pains and Needs} User - Desperation - Interuption - Lost - OCD of zeroing it it costs - time - productivity - attention anxiety Uncertainty
4. The stressor we’re addressing is uncertain budget of time while processing emails for people who received large volume of emails. The calmer is a feeling of control which they will experience when they see an indicator of time that email processing will take
5. Lime Time chrome extension
6. Features: Self-learning Time Estimator Voice based Time Filter
7. 7 days’ hackathon Hack into Gmail’s inner memory 9,000 lines of Python and Javascript {Implementation} Machine Learning Automatically adjust the personalized time estimator according to the user behaviors Categorization Based on Word Count. But Newsletter and Emails from Professor has different reading speed.
8. {Data Analysis} 49 Users over 10 days Error over Never Reading Non-Personal mails (mean: 4.1mins, std: 1.2mins) Error over Reading > 5s Non-Personal mails (mean: 0.4 mins, std: 0.4 mins) Error over Reading > 5s Personal mails (mean: 1 mins, std: 9.8 mins)
9. Finer grain estimator of email category Better visualization For emails that require follow-up task we will provide visual indications {Next to do}
10. Visual Time Budget Reduces Email’s stress! Botao Hu (CS/data mining) Attila Mong (journalist) Megha Makam (neuro/music) botaohu@stanford.edu among@stanford.edu makam@stanford.edu chrome extension Lime Time
11. {Install}