Mapping and taking stock of the personal informatics literature

DA Epstein, C Caldeira, MC Figueiredo, X Lu… - Proceedings of the …, 2020 - dl.acm.org
The research community on the study and design of systems for personal informatics has
grown over the past decade. To take stock of what the topics the field has studied and …

The future of sleep health: a data-driven revolution in sleep science and medicine

I Perez-Pozuelo, B Zhai, J Palotti, R Mall… - NPJ digital …, 2020 - nature.com
In recent years, there has been a significant expansion in the development and use of multi-
modal sensors and technologies to monitor physical activity, sleep and circadian rhythms …

Reflection in theory and reflection in practice: an exploration of the gaps in reflection support among personal informatics apps

J Cho, T Xu, A Zimmermann-Niefield… - Proceedings of the 2022 …, 2022 - dl.acm.org
Personal informatics (PI) systems have been developed to support reflection. While
reflection is considered an indispensable activity in PI use, how and when reflection occurs …

Feeling validated yet? A scoping review of the use of consumer-targeted wearable and mobile technology to measure and improve sleep

KG Baron, J Duffecy, MA Berendsen, IC Mason… - Sleep medicine …, 2018 - Elsevier
The objectives of this review were to evaluate the use of consumer-targeted wearable and
mobile sleep monitoring technology, identify gaps in the literature and determine the …

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 …

[HTML][HTML] Accuracy of Fitbit wristbands in measuring sleep stage transitions and the effect of user-specific factors

Z Liang, MA Chapa-Martell - JMIR mHealth and uHealth, 2019 - mhealth.jmir.org
Background: It has become possible for the new generation of consumer wristbands to
classify sleep stages based on multisensory data. Several studies have validated the …

Data sensemaking in self-tracking: Towards a new generation of self-tracking tools

A Coşkun, A Karahanoğlu - International Journal of Human …, 2023 - Taylor & Francis
Abstract Human-Computer Interaction (HCI) researchers have been increasingly interested
in investigating self-trackers' experience with self-tracking tools (STT) to get meaningful …

A multi-level classification approach for sleep stage prediction with processed data derived from consumer wearable activity trackers

Z Liang, MA Chapa-Martell - Frontiers in Digital Health, 2021 - frontiersin.org
Consumer wearable activity trackers, such as Fitbit are widely used in ubiquitous and
longitudinal sleep monitoring in free-living environments. However, these devices are …

How does sleep tracking influence your life? experiences from a longitudinal field study with a wearable ring

E Kuosmanen, A Visuri, S Kheirinejad… - Proceedings of the …, 2022 - dl.acm.org
A new generation of wearable devices now enable end-users to keep track of their sleep
patterns. This paper reports on a longitudinal study of 82 participants who used a state-of …

Sleep behavior assessment via smartwatch and stigmergic receptive fields

AL Alfeo, P Barsocchi, MGCA Cimino… - Personal and ubiquitous …, 2018 - Springer
Sleep behavior is a key factor in maintaining good physiological and psychological health. A
well-known approach to monitor sleep is polysomnography. However, it is costly and …