We developed a mobile application prototype where it tracks the daily activities, sleeping habits and cycles, exercising times, food intake, and team dynamics. Aside from the change in the flight conditions, we also considered the work-related assessment of the user and to the fellow crewmembers. The purpose of adding the work and team dynamics through an assessment is to provides us more information regarding one's work output. It is directly correlated with the level of stress and fatigue which affect's one's sleep cycle. One of the factors that might be overlooked in identifying the cause of Circadian Misalignment is the amount and quality of work-related performance of each individual and how they work as a team and communicate effectively.

Stages

Stage 1: User Profiling

• Collection of person's personal information
• Identifying the role as a user or admin
• User roles: Crew Members and Travelers*
• Admin roles: Flight Operation Officer, Health Supervisor/Physician, and Crew Support

Stage 2: Daily Assessment

• Two types of assessment: Before and after sleep
• Type A (After Sleeping): Sleep Quality, Mood, Nightmare and Snoring Check, Final Out of Bed Time (FOB), Initial in Bed Time (IIB)
• Type B (Before Sleeping): Part 1: Self-Assessment and Part 2: Work Environment and Team Dynamics
• Part 1: Level of Stress and Fatigue, Level of Sleepiness, Medications, and taken countermeasures
• Part 2: Level of work-related stress, Assessment of workload of crewmembers and communication effectiveness

Stage 3: Analysis and Prediction

• Use of machine learning to analyze the daily assessment patterns
• Integration of pre-existing user data (Personal data, Flight schedule, Travel History, Medical Records) and daily assessment.

Stage 4: Recommendation System

• Sleep shifting recommendations based on the analysis and prediction (Time to sleep, Temperature adjustment, Exercise duration, Eating duration, Screen time, Light scheduling and control)

Stage 5: Secondary Analysis

• Tracking of the significant improvements of sleep cycle and circadian rhythm based on the recommendation systems

Stage 6: Intervention of Health Professionals

• Recurring Circadian Misalignment
• Detection of sleeping disorders and health-related issues

The application have the following main features:

A. Countermeasures Feature

The application addresses the sleep concerns of the user by first retrieving information that will allow the application to give appropriate countermeasures and recommendations. Each role will be asked specific types of information.

1.For Crewmembers

Crewmembers are individuals in high-risk occupations that have to perform optimally. There is a steady decline in productivity when these individuals experience lack of sleep or poor sleep quality. It recommends the user through processing data given by the user. The type of data specially requested for crewmembers is the nature of the mission whether landing, launching, docking, and undocking as well as the time table of the mission. 

2.For Mission Control

Mission control works on different shifts and their line of work can be detrimental to their sleep quality. With this in mind, the application retrieves the information specifically on their shifts. The dates and times of mission control shift work schedules as well as normal workload schedules.

3.For Personnel Travelling Internationally 

The information asked from personnel travelling internationally to complete missions are the following: Departure from (city and airport), Arrival to (city and airport), layover times, departure time, arrival time, and preferred sleep. 

With this information, the application can generate recommendations beforehand so that the user easily adapts their circadian rhythm to any changes. 

4.For Circadian Misalignment

Lastly for problems on circadian misalignment. Information asked will be a self-assessment survey regarding the quality of sleep known as the Pittsburgh Sleep Quality Index. The application will then give information to try and address the problems. However if problems persist, then the information provided may be vital in assisting health professionals assess the situation.

B. Prepare to sleep feature and Sleep History feature

The Prepare to Sleep gives the users the capability to give data on their sleep before and after. This allows users to assess the conditions before sleep, such as levels of fatigue, type of emotion felt, etc, and post sleep such as quality of sleep and hours of sleep. Over time this will form data which the user can check in the Sleep History feature which displays gathered data through graph form. In real time, this will affect the Countermeasure feature in terms of recommending effective techniques for the user.

C. Teams feature

This feature will allow entire teams to give their Sleep History data to a single supervisor or person-in-charge. This will encourage supervisors to have stronger footing in sleep leadership wherein they can compare their performance to their Sleep History as well as what countermeasures are being used. This will empower the supervisors to be able to detect any necessary changes or adjustments in order to further improve the wellbeing of the employees. 

Our project aims to provide a better structure for analyzing one's sleeping patterns through several datasets including