Sleep coach
How can you make sense of sleep data, include the user in the process of evaluating and visualize the outcome in a simple and integrative way? Sleep tracking is one of the most common measurement when talking about self quantification nowadays. Fitness tracker do it, smart watches do it and even your smartphone can record your sleep. But what to do with the gathered data? What does it mean to spend 20% in deep sleep? While tracking becomes more precise there is hardly any support available on how to understand the data, left alone improve your sleep. Furthermore sleep is a highly individual matter and every person has their own demands and needs. This project is a collaboration with the Nokia healthcare offices in San Francisco and Paris.
"The biggest issue with all these devices is that they rarely tell a person what to do with their data“
Sleep tracking
Gathering sleep data can be done in multiple ways from a headband to an invisible mattress. Most of them rely on measuring your movement during the night to identify sleep phases such as light, deep or REM sleep. In addition some are able to record your heartbeat, breathing rate and environmental data such as temperature and humidity.Problem definition
In most cases people are highly interested in the beginning but quickly stop tracking, as they can't make use of the data. Just knowing that you had 4h of deep sleep won't help you understand if thats good or bad and no one can actually tell.
Concept development
To make use of the sleep data it has to be aligned with additional datasets to identify influences by activities during the day and bedtime. Instead of assuming user needs, a coach will guide the user through a 4 week program to identify how small adjustments during the day and night influence your sleep quality.
Bedside coach
The device seamlessly integrates into your bedroom environment, acting as a traditional clock while Modern technology is hidden inside the textile covered body. Basic information is displayed via an e-ink display, while the physical hands add to the analog feeling. The light-ring guides you during the night and helps you wake up relaxed in the morning.
Sensors
In addition to the sleep pattern and user feedback, temperature, light and sound are being monitored. This way you can even track the impact of mobile devices in bed or identify a snoring problem. The data is synchronized with the accompanying app to evaluate.
Interaction
Three buttons on top allows the user to input his feedback with a single press while getting in or out of the bed. The wheel on the back eases the interaction while scrolling through information on the display.
Analysis
Beside the obvious influence being sleep efficiency, your daily activities highly influence your sleep quality. Activities and habits during the day and before bedtime have a direct impact on your wellbeing.Interaction
Involving the user into the process of interpreting the data and using the feedback to develop a personal coaching program has been the main target of the project.
User journey
A typical day was analyzed to define the concept and develop a suitable system. Based on this a decision was made to include both a product and a digital solution.
User involvement
Using direct feedback from the user makes it possible to exactly define which parameters have an influence on the sleep quality and allows the sleeping coach to adapt to your personal needs.Small steps
Changing habits is difficult, so why not taking it step by step? Easy to incorporate daily goals, will change according to the weekly theme in order to identify influences on the sleep quality.
App
While the bedside device displays only basic data, the user can get hold of details in the accompanied app. In simple and easy to understand visuals the user is guided through the sleep coach program, can see the progress, as well as the level of the influences.Influence
The caching program and its daily goals are divided into four major categories, covering different aspects of your daily life.