Design Process Overview
https://www.youtube.com/watch?v=GAI7utEMuQU
https://org.modao.cc/app/54ujfks76uk239bk9p1oc63lmwutx
- Sign-in Page: Type the Emails and password to sign-in
- App Instruction Page: Basic instruction of Sweet Sleep
- Home Page: Start to record today's checklist by clicking the yellow button at the centre
- Answer questions from Q1 to Q7, then go back to the Home page
- Enter the Data Analysis page through the bottom navigation bar
- View the analysis result and suggestion, then go back to the Home page
- Enter the Forum page through the bottom navigation bar
In recent years, sleep problems such as insomnia and poor sleep quality have plagued many people. Good quality sleep is the guarantee of physical and mental health. Frequent staying up late or insomnia can lead to various problems in body function, such as decreased vision, neurasthenia, and unresponsiveness. Long-term lack of sleep will increase the risk of cardiovascular and cerebrovascular diseases. The risk of disease, depression, diabetes, damage to cognitive function, memory and the immune system. Many people know the harm caused by sleep problems, but it is still difficult to improve. The problem of insomnia is essentially a social problem. The factors affecting sleep are diverse. In addition to the environment after going to sleep, people's various behaviours during the day can actually affect the night's sleep, and these factors have great individualised differences. So our target audience is people who have sleep problems but don't know the factors and solutions. Our design is aimed to provide them with this information. We will not try to monitor the situation after people fall asleep, but analyse their behaviour during the day. In short, our app allows users to take the initiative to record data that may affect the quality of sleep, such as coffee, nap, exercise, etc. These factors are based on the study of relevant data. Then use the user's long-term records to analyse what is the most influential factor and give them relevant advice. Of course, they can also ask for help or help others in the forum.
Our project has both social and mobile features. In terms of the social aspect, we researched how modern lifestyle and technologies affect people's lives and cause the prevalence of sleep inability in the social context. We viewed a lot of research and conducted social probe experiments to find insights within people's daily life. In terms of the mobile feature, we intended to create a tool for users to log their habits for a long time, and then analyse users' characteristics so that offer them suggestions for a healthier life.
Our original concept was to combine the wearable device with the mobile app. The system will assign some tasks to them. Then when they finish the task in the day, they can record on the watch, and then the mobile app has a list of tasks, the more you complete, the easier it is to have a good night's sleep.
We originally intended to let users record this data on Apple Watches and give the results directly. It is divided into three broad categories and then subdivided. The reason why the Apple Watch is abandoned is that some automatic monitoring functions of Apple Watch, such as heart rate, and the number of steps we do not use, we need the subjective data that the user actively records to analyze their results, the mobile APP is more intuitive.
URL:https://free.modao.cc/app/ros1gawef3k1ei76bpore9xzje2u
Our first mobile app is to summarize some factors that may affect people's sleep quality by consulting a large amount of data, and then make these factors into a questionnaire for users to record every day, because there are records of sleep quality and sleep rhythm, so the record is about yesterday’s data. Our software analyzes the factors that most affect their sleep quality through the user's long-term results. The longer the user records, the more accurate the data is. In this prototype, the results are presented in rankings.
URL:https://xd.adobe.com/view/3e3b6255-99eb-4cbc-7f97-f9da22e5a745-480a/
The third prototype is designed by MockingBot (https://mockingbot.com). Compared to the second prototype generated by Adobe XD, there are a lot of changes have been made. For example, the app's logo and user interface have been re-designed and more in line with the industrial standard. Forum function has been added this time for meeting some specific user groups' need. Except for the aesthetics, we also considered the technical aspect in terms of how to analyse the data we collected. We did product testing session based on HCI principles. The main problem with the current product is that it is difficult for us to collect data from a user for a long time. Moreover, the five main lifestyle factors we mainly consider are sometimes not suitable for all users. We intended to make the record function concise, but we meet troubles that there were fewer data generated by users.
This is the final prototype which presents at the showcase
Probably the mode of "yes or no" questions are not the best approach to record users' daily activities. We used this method at that time because we would like to collect data simple and concise for the following analysis procedure. And technically our analysis algorithm does not have to consider too many impact factors and their respective weights. However, it also restricts us to think more deeply about each factor.
After calculating the sensitivity coefficients of each factor. We would like to visualise these values in the graph. For the sake of dynamically showing these data, we used Chart.js, a JavaScript library which could dynamically create HTML5 chart with local CSV files or web API. We collected users' 5 days, 15 days, and 30 days of logging data to crafting the dynamic radar chart. We found that the circadian factor affects more while the other four factors didn't affect this user's sleep.
- Organize group meetings and arrange the division of labor
- Sketching the original concept
- Proposed design element
- Design the first mobile prototype
- Background Research about how exercise affects people's sleep quality
- Design the first Apple Watch prototype
- Design the final mobile prototype
- Background Research
- Design poster
- Organize user testing
- Background Research
- Code for analysis functions
- Prototype design element