Sleep Tracking App Prototype (SleepFlex)
This is a class project to identify a clear design problem where personal data can be useful, and design & develop a prototype. My main focuses of this project are about visual design and interaction design of a prototype. We also tried to bring new ideas to track and record not only objective sleep scores but also subjective sleep scores.
Role: UX Researcher and Designer
Timeline: August 2020 - December 2020 (Fall 2020)
The Goal
The goal of this project was to identify a design problem that personal health-related data can be useful, and design & develop a prototype that can best demonstrate the key design concept.
This project was research based, for this reason, my team reviewed literatures, journals, and other papers. The topic was about a flexible sleep tracker for capturing subjective quality.
Abstract
Sleep is known to be a crucial factor to good health. Despite the increasing popularity in sleep tracking technology, most existing sleep tracking technology user interfaces look very similar and emphasize factors that users cannot really control. In this paper, we detail existing gaps in sleep tracking applications through past literature publications. Based on interviews and surveys of application reviews, we then create a design rationale and implement a sleep tracking system that aims to help users adjust their modifiable behaviors and define their own subjective sleep quality.
Approach
In order to reach the goal, which is to identify a design problem of current sleep tracking app, we reviewed previous works on HCI related to sleep tracking, sleep quality, and self-reflection using smart devices. We found that there were a lot of studies about subjective sleep quality and objective sleep quality. For this reason, we designed an app to track objective sleep quality which is calculated based on total time in bed, total time asleep, and the number of awakenings, and to record subjective sleep quality based on mood. Moreover, we would like to emphasize on the relationship between subjective & objective sleep quality and the external factors such as physical exercise, and alcohol & caffeine intake. By visualizing the data and information, we tried to motivate users to improve their sleep quality based on better self-reflection.
Prototype
Interactive Prototype
Special Thanks to Prof. Choe, Bhavesh, and Jeremy