Advice

Where to find advice

If available advice is displayed on the inv_ic_action_stats Stats tab at the very bottom. Advice is displayed one at a time, but tapping it will expand your full list of advice.

Your sleep score

After gathering at least 2 weeks of data Sleep as Android starts to provide your with advice on how to improve your sleep and what are the current trends in the data.

Advice may be Positive, Negative or Neutral. For example having a gain in sleep length in case you are under the recommended values is considered positive. But consuming more alcohol is considered negative. Having significantly different levels than the population average is considered neutral. You get +1 for each positive and -1 for each negative advice resulting in an overall sleep score. Having an overall positive sleep score means you are doing well and there is more positive than negative trends in your data.

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We keep track of the most important sleep parameters and their development. This advice compares your last 7 days development with your last 30 days development. Such advice takes the form of e.g.:

Negative: Your “deep sleep” is down by “10%” recently.

Another kind of advice keeps an eye on your sleep parameters to be in the recommended ranges based on larger scientific studies. For example for adults it is recommended to sleep between 6 – 8 hours. If you sleep falls under 6 hours we display:

Negative: Your “sleep length” is under “6 hours”.

Tags are another great source of advice. Example:

Positive: You are getting more #sport recently.

Negative: Your are getting more #caffeine recently.

Advice in Sleep as Android further compares how you are doing in comparison to others using the app. This data is based on anonymized aggregates gathered in the SleepCloud online service. Example:

Neutral: Others are getting “30 minutes” less snoring.

Maximize your parameters

Another source of advice is the light bulb inv_ic_lightbulbmarked section in charts. It helps you to find the right sleep parameters in terms of fall asleep hour and sleep length to maximize your deep sleep or subjective ratings. In other words it tells you when to go to bed or how long to sleep in order to get most deep sleep % or in order to get sleep which you tend to rate high.

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See more about polynomial regression – the statistical method behind this in How it works.

 

 

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10 thoughts on “Advice

    1. Hi Michael, Sleep as Android will help you more closely examine your sleeping routines. You can find out whether you should be going to sleep at another time that you do or whether you consume too much coffee etc.

  1. I sleep with my girlfriend and we both use this app with standard settings for now. We noticed we have the same sleep reading graphs, obviously because we sleep in the same bed, meaning the lucid dream cues and smart alarm won’t work. Any way to set this up so it will work? If so can’t wait to try again and hopefully buy it 🙂

    1. Hello Harry – the rule of thumb for having the most accurate reading is having the phone as close to your body as possible (in case of using accelerometer as the sensor). So you should keep your phone e.g. under your pillow and your girlfriend under her pillow (or on her side of bed etc.).
      In case of using wearables (such as Pebble smartwatch), the reading should be different for each one of you, and this probably the most accurate setting.
      In case of using sonar, the sonar has a limited range of cca 70 cm, so you can find an optimal distance where to keep the phone – unless of course you are used to switching bedsides during the night 🙂

    1. Hello, we are just testing awake detection on wearables.. early results are very promissing, it detects even short awakes when I wake up to the kinds for example…Now it is available as a 25% experiment in BETA for Android Wear and Pebble, but we plan to add-it to Gear later on as well..

  2. Why is this app not detecting awake status?
    I was using sleep meister on iOs and it was detecting it. If I get off my bed and come again 30 mins later it was detecting I was awake until I get back to my bed and fall asleep even without turning my ipod touch on.
    Moreover the graph dont seems accurate..

    1. Hello, the issue is conceptual. We can easily detect awake status if you take your phone everywhere with you. But we cannot assume that. For most people, the phone is just lying on the table more than 50% time. It’s the same whether they sleep or are awake. What can we infer from that? What works for one would not work for another. The bottom line is that it’s impossible to reliably detect awake/asleep with phone only.

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