A scoping review of mobile apps for sleep management: User needs and design considerations
A Al Mahmud, J Wu, O Mubin - Frontiers in Psychiatry, 2022 - frontiersin.org
Sleep disorders are prevalent nowadays, leading to anxiety, depression, high blood
pressure, and other health problems. Due to the proliferation of mobile devices and the …
pressure, and other health problems. Due to the proliferation of mobile devices and the …
The effects of seasons and weather on sleep patterns measured through longitudinal multimodal sensing
Previous studies of seasonal effects on sleep have yielded unclear results, likely due to
methodological differences and limitations in data size and/or quality. We measured the …
methodological differences and limitations in data size and/or quality. We measured the …
A multimodal sensor dataset for continuous stress detection of nurses in a hospital
S Hosseini, R Gottumukkala, S Katragadda… - Scientific Data, 2022 - nature.com
Advances in wearable technologies provide the opportunity to monitor many physiological
variables continuously. Stress detection has gained increased attention in recent years …
variables continuously. Stress detection has gained increased attention in recent years …
Social media and ubiquitous technologies for remote worker wellbeing and productivity in a post-pandemic world
In light of the ongoing COVID-19 pandemic, remote work styles have become the norm.
However, these work settings introduce new intricacies in worker behaviors. The overlap …
However, these work settings introduce new intricacies in worker behaviors. The overlap …
[HTML][HTML] Alignment between heart rate variability from fitness trackers and perceived stress: Perspectives from a large-scale in situ longitudinal study of information …
Background: Stress can have adverse effects on health and well-being. Informed by
laboratory findings that heart rate variability (HRV) decreases in response to an induced …
laboratory findings that heart rate variability (HRV) decreases in response to an induced …
Quantifying daily rhythms with non-negative matrix factorization applied to mobile phone data
Human activities follow daily, weekly, and seasonal rhythms. The emergence of these
rhythms is related to physiology and natural cycles as well as social constructs. The human …
rhythms is related to physiology and natural cycles as well as social constructs. The human …
Jointly predicting job performance, personality, cognitive ability, affect, and well-being
Assessment of individuals' job performance, personalized health and psychometric
measures are domains where data-driven ubiquitous computing will have a profound impact …
measures are domains where data-driven ubiquitous computing will have a profound impact …
Trait-like nocturnal sleep behavior identified by combining wearable, phone-use, and self-report data
Using polysomnography over multiple weeks to characterize an individual's habitual sleep
behavior while accurate, is difficult to upscale. As an alternative, we integrated sleep …
behavior while accurate, is difficult to upscale. As an alternative, we integrated sleep …
A survey of passive sensing in the workplace
As emerging technologies increasingly integrate into all facets of our lives, the workplace
stands at the forefront of potential transformative changes. A notable development in this …
stands at the forefront of potential transformative changes. A notable development in this …
Quantifying Digital Biomarkers for Well-Being: Stress, Anxiety, Positive and Negative Affect via Wearable Devices and Their Time-Based Predictions
Wearable devices have become ubiquitous, collecting rich temporal data that offers valuable
insights into human activities, health monitoring, and behavior analysis. Leveraging these …
insights into human activities, health monitoring, and behavior analysis. Leveraging these …