The Health Design Lab, with support from NSERC, partnered with Xccepted Technologies to work on research and design around their Sleep Sync system. The Health Design Lab’s expertise is applying solution-focused, human-centered research methodologies to problems in healthcare. With this project we considered ways to embed the necessary sensors in a comfortable and safe manner for infants and how best to present this data to caregivers, allowing them to improve their understanding of their infant’s sleep cycles.
Sleep Sync uses advance sensor technology to provide caregivers with insightful information about their baby, in an understandable manner. It prioritizes improving the caregiver experience by reducing their stress and worry and by managing their life accordingly with the baby’s unpredictable lifestyle. This system achieves this with the smart coordination of three devices that get integrated into a caregiver’s life: the camera, wearable, and base station.
- In order to best understand how the Sleep Sync system can be integrated into a caregiver’s life, we created personas with visual moodboards and user scenarios. This allowed us to have a clear guideline on how the design of the system should look and function, based on their personalities and lifestyles.
- The industrial design portion of this project covers an in-depth exploration into the design of the camera, wearable, and base station. The head wearable is designed with priority towards ergonomics, comfortability, and ease of use. Material should be so and breathable against the baby’s skin. Size should be very adaptable due to the drastic change in sizes experienced in a newborns growth. Putting on the wearable should also be simple in order to minimize the interruption it has over the baby’s sleep.
- The interaction and communication design portion of the project focuses on the establishment of a clear user interface that is ready for user testing. In this process, the complex features of the software were organized and composed based on priority and frequency of use. Data sets were then simpli ed and designed to be easily understandable by average caregivers.