Name
Abstract | ||
|---|---|---|
Self-experiments allow people to explore what behavioral changes lead to improved health and wellness. However, it is challenging to run such experiments in a scientifically valid way that is also flexible and able to accommodate the realities of daily life. We present a set of design principles for guided self-experiments that aim to lower this barrier to self-experimentation. We demonstrate the value of the principles by implementing them in SleepBandits, an integrated system that includes a smartphone application for sleep experiments. SleepBandits guides users through the steps of a single-case experiment, automatically collecting data from the built-in sensors and user input and calculating and presenting results in real-time. We released SleepBandits to the Google Play Store and people voluntarily downloaded and used it. Based on the data from 365 active users from this in-the-wild study, we discuss opportunities and challenges with the design principles and the SleepBandits system.
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Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3313831.3376584 | CHI '20: CHI Conference on Human Factors in Computing Systems
Honolulu
HI
USA
April, 2020 |
DocType | ISBN | Citations |
Conference | 978-1-4503-6708-0 | 0 |
PageRank | References | Authors |
0.34 | 0 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nediyana Daskalova | 1 | 49 | 4.88 |
| Jina Yoon | 2 | 2 | 0.69 |
| Yibing Wang | 3 | 6 | 5.56 |
| Cintia Araujo | 4 | 0 | 0.34 |
| Guillermo Beltran | 5 | 0 | 0.34 |
| Nicole Nugent | 6 | 14 | 1.07 |
| John E. McGeary | 7 | 14 | 1.41 |
| Joseph Jay Williams | 8 | 1 | 3.09 |
| Jeff Huang | 9 | 784 | 42.90 |