Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Mar 17:13:791768.
doi: 10.3389/fpsyg.2022.791768. eCollection 2022.

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

Affiliations

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

Judith Amores et al. Front Psychol. .

Abstract

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.

Keywords: human-computer interaction; odor; olfaction; olfactory interfaces; sleep; wearables; wellbeing (I31).

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Olfactory proxemics. Ambient: generated in the environment by a source co-located nearby or far away from the user. The distance can range from a personal space to social space or public space (e.g., home diffusers). Wearable: worn by the user in a personal space (e.g., Ezzence wearable). Biological: generated in or on the user in an intimate space (e.g., chemosignals, scent hallucinations, synthetic scents).
Figure 2
Figure 2
The images depict a typical sleep study using olfactory stimulation. The experiment is conducted in a laboratory with a nasal mask attached to an olfactometer that releases various scents stored in the bottles. Images by (Arzi et al., 2014) (CC-BY).
Figure 3
Figure 3
Ezzence can be worn during the day and be attached to a bedside holder at night. It can also hook onto pajamas, blankets, necklaces or, inspired by a brooch; each part can be attached separately. The custom holder charges the device and has an adjustable flexible neck. It wirelessly connects to the smartphone application that controls the duration and frequency of the scent bursts and activates odors depending on physiological signals, sleep stage, and the user's preferences.
Figure 4
Figure 4
The “sleep holder” charges the device while the user sleeps. The distance between the prototype and the user's nose can be adapted via the flexible holder head (1). The user can assemble the holder clamped to the nightstand (2) or like a tripod next to the bed (3). On the left, pictures are taken by participants after assembling the prototype to the holder in their homes.
Figure 5
Figure 5
The system reads brain activity signals and sends this information from the EEG to the smartphone via Bluetooth Low Energy (BLE). The app integrates a pre-trained machine learning model that takes 30 s worth of data from the EEG and predicts a sleep stage with a given accuracy. The user or experimenter can customize the duration and frequency of the olfactory stimulation in certain sleep stages using the smartphone app. Scent can be activated manually using a button, or automatically based on physiological signals, such as heart rate and breathing rate. The system can also release scent based on the user's sleep stage, or based on time, e.g., 20 min after going to sleep.
Figure 6
Figure 6
(1) The back case encapsulates the PCB and connects to the front case (2) via a textile thread and magnets. The case holds the piezoelectrics and bottles and has a cavity that connects the textile thread to them (3). The piezoelectrics vibrate at high frequency and release scent when in contact with the cotton filters by soaking the fragrance from the bottle (4). The injection-molded case holds the magnets and wires with two screws. The fragrance can be refilled in two ways: one is by unscrewing the bottle of glass, and the other is by replacing the entire capsule (including cotton filter and cotton holder). The capsule is held using two nubs (4) with an internal mechanism that locks in place by inserting it upwards while rotating 60° (until the nub passes a minor bump in the path).
Figure 7
Figure 7
Participants wearing the prototype during the daytime olfactory test. As seen in the right image, participants rated how strong (1 = Very light, 7 = Very strong) the fragrance was, as well as how pleasant (1 = Very unpleasant, 7 = Very pleasant). On the left, self-reported relative improvement with respect to their sleep quality on a baseline night. There was a significant improvement when comparing scent with control (water). **P < 0.01.
Figure 8
Figure 8
Answers to the questions “How aware were you of the prototype?”; 7 = Very unaware, 1 = Very aware, a neutral response is a 4. “How aware were you of the scent?" and “Did you wake up because of the prototype?” Ninety-three percent of participants that were in the control condition and 78% in the scent condition reported not waking up because of the prototype. **P < 0.01.
Figure 9
Figure 9
In turquoise, experimental condition using the prototype with a lavender-based essential oil. In orange, prototype with water. The bars depict the percentage of participants who reported improvement minus those participants who reported worsening their sleep. Participants that were in the scent condition had on average more improvement than those in the control condition (water). *P < 0.05, **P < 0.01.
Figure 10
Figure 10
(Left) Usability results for the prototype where 7 is “very positive” and a neutral response is a 4. Satisfaction using the prototype. (Right) Answers from all the participants to the question “What would you prefer to use the prototype for?”

References

    1. Amores J. (2020). Olfactory interfaces : toward implicit human-computer interaction across the consciousness continuum (Ph.D. thesis). Massachusetts Institute of Technology, Cambridge, MA, United States. Available online at: https://hdl.handle.net/1721.1/129318
    1. Amores J., Hernandez J., Dementyev A., Wang X., Maes P. (2018). “Bioessence: a wearable olfactory display that monitors cardio-respiratory information to support mental wellbeing,” in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Honolulu, HI: ), 5131–5134. 10.1109/EMBC.2018.8513221 - DOI - PubMed
    1. Amores J., Maes P. (2017). “Essence: olfactory interfaces for unconscious influence of mood and cognitive performance,” in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, CHI '17 (New York, NY: ), 28–34. 10.1145/3025453.3026004 - DOI
    1. Aromajoin (2016). Aromashooter. Aromajoin.
    1. Arzi A., Holtzman Y., Samnon P., Eshel N., Harel E., Sobel N. (2014). Olfactory aversive conditioning during sleep reduces cigarette-smoking behavior. J. Neurosci. 34, 15382–15393. 10.1523/JNEUROSCI.2291-14.2014 - DOI - PMC - PubMed

LinkOut - more resources