HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

Health, Healthcare, and Wellbeing / Passive Sensing, Behavior Modeling, and Mental State Prediction

Which physiological changes are most strongly associated with perimenopausal depression symptoms and can smart rings capture them?

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

Which physiological changes are most strongly associated with perimenopausal depression symptoms and can smart rings capture them?

UbiComp '24Smart Rings for Early Detection of Peri-menopausal Depression: A Research Protocol

Similar questions

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

Can smart rings detect perimenopausal depression early by monitoring physiological indicators?

UbiComp '24Smart Rings for Early Detection of Peri-menopausal Depression: A Research Protocol

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

What are participants' experiences and improvement suggestions for using smart rings for perimenopausal depression detection?

UbiComp '24Smart Rings for Early Detection of Peri-menopausal Depression: A Research Protocol

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

Can weekly mental health prediction models support users' long-term planning more effectively than short-term predictions?

UbiComp '24A Long-Term Perspective on Planning the Future: The Effectiveness of Weekly Mental Health Prediction

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

How can new mental health metrics (e.g., 'psychological debt') enhance user understanding of behavior-future mental state relationships?

UbiComp '24A Long-Term Perspective on Planning the Future: The Effectiveness of Weekly Mental Health Prediction

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

Are users more willing to proactively plan work and leisure in systems based on mental health predictions?

UbiComp '24A Long-Term Perspective on Planning the Future: The Effectiveness of Weekly Mental Health Prediction

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

Which imputation strategy performs best for depression prediction in longitudinal behavioral studies?

UbiComp '24Imputation Strategies for Longitudinal Behavioral Studies: Predicting Depression Using GLOBEM Datasets

Related papers

MoodCapture: Depression Detection using In-the-Wild Smartphone Images

Subigya Nepal, Arvind Pillai, Weichen Wang

GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling

Xuhai Xu, Xin Liu, Han Zhang

Smartphone-derived Virtual Keyboard Dynamics Coupled with Accelerometer Data as a Window into Understanding Brain Health

Emma Ning, Andrea T. Cladek, Mindy K. Ross

EmoGlass: an End-to-End AI-Enabled Wearable Platform for Enhancing Self-Awareness of Emotional Health

Zihan Yan, Yufei Wu, Yang Zhang

Semantic Gap in Predicting Mental Wellbeing through Passive Sensing

Vedant Das Swain, Victor Chen, Shrija Mishra