New measures of mental state and behavior based on data collected from sensors, smartphones, and the Internet

T Glenn, S Monteith - Current psychiatry reports, 2014 - Springer
With the rapid and ubiquitous acceptance of new technologies, algorithms will be used to
estimate new measures of mental state and behavior based on digital data. The algorithms …

Article commentary: Adolescent sleep and cellular phone use: Recent trends and implications for research

SK Adams, JF Daly, DN Williford - Health services insights, 2013 - journals.sagepub.com
Adolescent sleep needs range from 8.5–10 hours per night, with older adolescents requiring
less sleep than younger adolescents. On average, however, American adolescents receive …

No longer wearing: investigating the abandonment of personal health-tracking technologies on craigslist

J Clawson, JA Pater, AD Miller, ED Mynatt… - Proceedings of the …, 2015 - dl.acm.org
Personal health-tracking technologies have become a part of mainstream culture. Their
growing popularity and widespread adoption present an opportunity for the design of new …

Toss'n'turn: smartphone as sleep and sleep quality detector

JK Min, A Doryab, J Wiese, S Amini… - Proceedings of the …, 2014 - dl.acm.org
The rapid adoption of smartphones along with a growing habit for using these devices as
alarm clocks presents an opportunity to use this device as a sleep detector. This adds value …

SleepTight: low-burden, self-monitoring technology for capturing and reflecting on sleep behaviors

EK Choe, B Lee, M Kay, W Pratt, JA Kientz - Proceedings of the 2015 …, 2015 - dl.acm.org
Manual tracking of health behaviors affords many benefits, including increased awareness
and engagement. However, the capture burden makes long-term manual tracking …

[HTML][HTML] Mobile phone-delivered cognitive behavioral therapy for insomnia: a randomized waitlist controlled trial

CHG Horsch, J Lancee, F Griffioen-Both… - Journal of medical …, 2017 - jmir.org
Background This study is one of the first randomized controlled trials investigating cognitive
behavioral therapy for insomnia (CBT-I) delivered by a fully automated mobile phone app …

Validity of consumer activity wristbands and wearable EEG for measuring overall sleep parameters and sleep structure in free-living conditions

Z Liang, MA Chapa Martell - Journal of Healthcare Informatics Research, 2018 - Springer
Consumer sleep tracking technologies offer an unobtrusive and cost-efficient way to monitor
sleep in free-living conditions. Technological advances in hardware and software have …

SleepExplorer: a visualization tool to make sense of correlations between personal sleep data and contextual factors

Z Liang, B Ploderer, W Liu, Y Nagata, J Bailey… - Personal and Ubiquitous …, 2016 - Springer
Getting enough quality sleep is a key part of a healthy lifestyle. Many people are tracking
their sleep through mobile and wearable technology, together with contextual information …

Sleep tracking in the real world: a qualitative study into barriers for improving sleep

Z Liang, B Ploderer - Proceedings of the 28th Australian Conference on …, 2016 - dl.acm.org
Wearable devices like Fitbit and Apple Watch provide convenient access to personal
information about sleep habits. However, it is unclear if awareness of one's sleep habits also …

In bed with technology: challenges and opportunities for sleep tracking

W Liu, B Ploderer, T Hoang - Proceedings of the annual meeting of the …, 2015 - dl.acm.org
In recent years a variety of mobile apps, wearable technologies and embedded systems
have emerged that allow individuals to track the amount and the quality of their sleep in their …