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Self-E - Brown University HCI Group
Curious about whether a lifestyle change will positively impact your life?
Sleep
Productivity
Energy
Mood
Grow with Self-E
Curious about whether a lifestyle change will positively impact your life?
Interested in optimizing your habits to fit your personal needs and abilities?
With the Self-E app, you can modify your behaviors, report outcomes and gain concrete insights into the efficacy of the self-improvement you seek to make. Through Self-E, you can set up experiments, view your data, and attain individualized insights.
How it works
Self-E lets you run small experiments on yourself, which may help you optimize various aspects of your well-being.
Let Self-E randomize what you do each day, and compute the resulting probability and effect sizes for you. Backed by our research of bayesian statistics for N-of-1 trials.
Read our previous papers for details:
Self-E: Smartphone-Supported Guidance for Customizable Self-Experimentation
Nediyana Daskalova, Eindra Kyi, Kevin Ouyang, Arthur Borem, Sally Chen, Sung Hyun Park, Nicole Nugent, Jeff Huang. CHI 2021.
Lessons Learned from Two Cohorts of Personal Informatics Self-Experiments
Nediyana Daskalova, Karthik Desingh, Alexandra Papoutsaki, Diane Schulze, Han Sha, Jeff Huang. UbiComp 2017.
Follow three simple steps
Log behaviors, visualize outcomes, and generate insightful recommendations from your own data.
1. Choose
Select and customize experiments to fit your needs
2. Track
Follow daily experiment instructions
3. Understand
See how each experiment helps you improve your health
Choose from various experiments
Meditation and Productivity
Portion Size and Energy Level
Caffeine and Sleep Quality
Development Team
Kevin Ouyang
Andrew Park
Lisa Wang
This research is in collaboration with clinicians and researchers at Rhode Island Hospital and the Providence VA Medical Center. Funded by the National Science Foundation IIS-1656763.