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 …
Many recent technological advances (eg ChatGPT and search engines) are possible only because of massive amounts of user-generated data produced through user interactions …
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 …
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 …
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 …
Background: Using personal data as Open Data is a pervasive topic globally, spanning various sectors and disciplines. Recent technological advancements, particularly in artificial …
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 …
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 …
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 …