Toward data-driven digital therapeutics analytics: Literature review and research directions

U Lee, G Jung, EY Ma, J San Kim, H Kim… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
With the advent of digital therapeutics (DTx), the development of software as a medical
device (SaMD) for mobile and wearable devices has gained significant attention in recent …

Toward dynamic consent for privacy-aware pervasive health and well-being: A scoping review and research directions

H Lee, U Lee - IEEE Pervasive Computing, 2022 - ieeexplore.ieee.org
Recent advances in sensor-enabled services have facilitated the use of mobile, wearable,
and IoT devices; for example, an extensive range of sensor data are used to automatically …

Understanding privacy risks and perceived benefits in open dataset collection for mobile affective computing

H Lee, S Kang, U Lee - Proceedings of the ACM on Interactive, Mobile …, 2022 - dl.acm.org
Collecting large-scale mobile and wearable sensor datasets from daily contexts is essential
in developing machine learning models for enabling everyday affective computing …

PriviAware: Exploring Data Visualization and Dynamic Privacy Control Support for Data Collection in Mobile Sensing Research

H Lee, Y Jung, HY Law, S Bae, U Lee - Proceedings of the CHI …, 2024 - dl.acm.org
With increased interest in leveraging personal data collected from 24/7 mobile sensing for
digital healthcare research, supporting user-friendly consent to data collection for user …

A rapid review of the benefits and challenges of dynamic consent

W Lay, L Gasparini, W Siero, EK Hughes - Research Ethics, 2024 - journals.sagepub.com
Dynamic consent is increasingly recommended for longitudinal and biobanking research;
however, the value of investing in such systems is unclear. We undertook a rapid review of …