Mobile application for healthy sleep recommendation with calm technology / Muhammad Arif Haikal Meli and Romiza Md. Nor

• Main Authors: Meli, Muhammad Arif Haikal, Md. Nor, Romiza
• Format: Book Section
• Language: English
• Published: College of Computing, Informatics and Media, UiTM Perlis 2023
• Subjects: Application software
• Online Access: https://ir.uitm.edu.my/id/eprint/100159/1/100159.pdf; https://ir.uitm.edu.my/id/eprint/100159/

Sleep is a natural biological phenomenon and essential necessity for every individual’s health and well-being throughout their life. Healthy sleep refers to adequate amount of sleep for human’s body to recover. However, sleep disorders are prevalent nowadays for individuals that have difficulty to sleep which will eventually lead to mental health issues and other health problems and the risk of accidents and injuries. To overcome this problem, a mobile application with healthy sleep recommendation with calm technology is developed also known as Head2Sleep. The purpose of this project is to enhance sleep quality and improve sleep hygiene. Knowledge-based recommendation system used to provide healthy sleep recommendations based on Pittsburgh Quality Sleep Index. A Waterfall model which consists analysis, design, development, evaluation, and documentation phases is being used throughout this research. The principles of calm technology along with techno-spiritual design factors which are institutional, experiential, and practical have been implemented and is developed using Flutter. Evaluation was conducted using Usability Testing and Functionality Testing among students, private sector workers, and experts. Based on the results and findings, the mobile application can help in reducing sleep-related issues and it can be improved by integrating wearable devices and additional features like interactive games and an alert notification to remind of user’s bedtime for future works.