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 …

Exploring mHealth applications for self-management of chronic low back pain: A survey of features and benefits

S Kheirinejad, A Visuri, SA Suryanarayana, S Hosio - Heliyon, 2023 - cell.com
Abstract The adoption of Mobile Health (mHealth) for self-management is growing. mHealth
solutions are commonly used in public healthcare and health services, where they are …

The dimensions of data labor: A road map for researchers, activists, and policymakers to empower data producers

H Li, N Vincent, S Chancellor, B Hecht - … of the 2023 ACM conference on …, 2023 - dl.acm.org
Many recent technological advances (eg ChatGPT and search engines) are possible only
because of massive amounts of user-generated data produced through user interactions …

Fostering Youth's Critical Thinking Competency About AI through Exhibition

S Lee, D Choi, M Lee, J Choi, S Lee - … of the 2023 CHI Conference on …, 2023 - dl.acm.org
Today's youth lives in a world deeply intertwined with AI, which has become an integral part
of everyday life. For this reason, it is important for youth to critically think about and examine …

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 …

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 …

A Scoping Review on Analysis of the Barriers and Support Factors of Open Data

N Lichtenauer, L Schmidbauer, S Wilhelm, F Wahl - Information, 2023 - mdpi.com
Background: Using personal data as Open Data is a pervasive topic globally, spanning
various sectors and disciplines. Recent technological advancements, particularly in artificial …

The impact of the COVID-19 pandemic on human–computer interaction empirical research

G Costagliola, M De Rosa, V Fuccella… - Interacting with …, 2023 - academic.oup.com
The purpose of this paper is to assess the effects that the COVID-19 pandemic caused in the
human–computer interaction (HCI) research field. Specifically, we aim to investigate how the …

[HTML][HTML] Monetary valuation of personal health data in the wild

A Alorwu, N van Berkel, A Visuri… - International Journal of …, 2024 - Elsevier
The value of personal health data continues to be a debated topic in HCI and society more
broadly. We investigate the monetary value people attach to their health data. Using a …

REGROW: Reimagining global crowdsourcing for better human-AI collaboration

A Alorwu, S Savage, N van Berkel, D Ustalov… - CHI Conference on …, 2022 - dl.acm.org
Crowdworkers silently enable much of today's AI-based products, with several online
platforms offering a myriad of data labelling and content moderation tasks through …