Development and Study of Ezzence: A Modular Scent Wearable to Improve Wellbeing in Home Sleep Environments.

Ezzence is the first smartphone-controlled olfactometer designed for both day and night conditions. We discuss the design and technical implementation of Ezzence and report on a study to evaluate the feasibility of using the device in home-based sleep environments. The study results (N = 40) show that participants were satisfied with the device and found it easy to use. Furthermore, participants reported a significant improvement in sleep quality when using the device with scent in comparison to the control condition (p = 0.003), as well as better mood the following morning (p = 0.038) and shorter time to sleep onset (p = 0.008). The device is integrated with a wearable EEG and real-time sleep staging algorithm to release scent during specific sleep stages (N1, N2, N3, and REM), which is important for certain use cases (e.g., to study the effect of scent on REM dreams, or to improve memory consolidation with a re-exposure of scent during N2 and N3). Ezzence can be used for several applications, including those that require scent triggered day and night. They include targeted memory reactivation, longitudinal health treatments, therapy, and mental or physical exercises. Finally, this article proposes an interaction framework to understand relationships between scents and environments based on proxemic dimensions and passive or active interactions during sleep.

An Exploration of Form Factors for Sleep-Olfactory Interfaces.

Releasing scent during sleep has been shown to influence the emotional valence of dreams, reduce cigarette smoking behavior, strengthen memories as well as enhance restorative slow-wave activity. Nevertheless, current scent technologies used in sleep laboratories are not portable and require the use of nasal masks and large olfactometers. In this paper we investigated the preferred form factor and acceptance of a set of biometric wearables that can release scent based on the user's physiological state. We conducted an online survey with 163 participants and evaluated 8 different form factors. The results showed that 73.5% of the subjects preferred the designs that are not wearable during the night but that can be worn during the day. We provide insights to take into account for the design of next generation sleep-olfactory technologies. We provide a literature review of sleep and scent studies and discuss the opportunities for well-being and memory applications.