Direction: Health, Healthcare, and Wellbeing

Passive Sensing, Behavior Modeling, and Mental State Prediction

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2024

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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

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

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

lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction

Depression in perimenopausal women is often overlooked, leading to insufficient diagnosis and treatment.

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

lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction

Users struggle to plan long-term based on existing short-term mental health prediction tools.

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

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

Can personalized longitudinal data imputation (PLDI) better preserve individual behavioral and temporal patterns?

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

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

Can mainstream imputation methods (kNN, MICE, matrix completion) improve prediction performance while avoiding data bias?

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

lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction

Missing behavioral data reduces accuracy in depression prediction.

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

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

How can depression be detected from natural facial images captured by smartphone front cameras?

CHI '24MoodCapture: Depression Detection using In-the-Wild Smartphone Images

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

Which facial image features are most important for depression detection?

CHI '24MoodCapture: Depression Detection using In-the-Wild Smartphone Images

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

Can smartphone users accept automatic facial image capture in daily environments for emotion analysis?

CHI '24MoodCapture: Depression Detection using In-the-Wild Smartphone Images

lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction

Depression diagnosis relies on subjective methods with high error rates and bias.

CHI '24MoodCapture: Depression Detection using In-the-Wild Smartphone Images

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

How can the cross-dataset generalization performance of passive sensing behavioral models be improved?

UbiComp '23GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

Which algorithms can effectively address the impact of population specificity and feature distribution differences on model generalization?

UbiComp '23GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

What role does behavioral continuity information play in improving cross-dataset performance of depression detection models?

UbiComp '23GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling

lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction

Depression detection models generalize poorly across datasets, limiting their practical utility.

UbiComp '23GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

How can random forest algorithms predict emotional changes in nursing home residents?

UbiComp '23Predicting and Analyzing Emotion of Elderly People in Care Facilities

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

What is the relationship between weather data and emotional changes in nursing home residents?

UbiComp '23Predicting and Analyzing Emotion of Elderly People in Care Facilities

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

How can text analysis reveal hidden causes of emotional changes in elderly care services?

UbiComp '23Predicting and Analyzing Emotion of Elderly People in Care Facilities

lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction

Mental health management for nursing home residents is insufficient, and emotional fluctuations go unnoticed.

UbiComp '23Predicting and Analyzing Emotion of Elderly People in Care Facilities

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

How can smartphone keystroke dynamics and accelerometer data jointly predict users' brain health status?

CHI '23Smartphone-derived Virtual Keyboard Dynamics Coupled with Accelerometer Data as a Window into Understanding Brain Health

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

Can keystroke dynamics and accelerometer data reflect users' daily behavior patterns and their relationship to cognitive performance?

CHI '23Smartphone-derived Virtual Keyboard Dynamics Coupled with Accelerometer Data as a Window into Understanding Brain Health

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

Can intraday variations in mood disorders and cognitive performance be assessed non-invasively through smartphone data?

CHI '23Smartphone-derived Virtual Keyboard Dynamics Coupled with Accelerometer Data as a Window into Understanding Brain Health

lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction

Mental health assessment relies on self-report, which is prone to bias and unsuitable for everyday environments.

CHI '23Smartphone-derived Virtual Keyboard Dynamics Coupled with Accelerometer Data as a Window into Understanding Brain Health

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

How can social media data be used to predict relapse risk in patients with schizophrenia?

IUI '22Employing Social Media to Improve Mental Health: Pitfalls, Lessons Learned, and the Next Frontier

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

Can combining social media data with traditional medical data improve the accuracy of national suicide rate predictions?

IUI '22Employing Social Media to Improve Mental Health: Pitfalls, Lessons Learned, and the Next Frontier

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

How can social media data be used effectively to improve mental health services under ethical and data bias challenges?

IUI '22Employing Social Media to Improve Mental Health: Pitfalls, Lessons Learned, and the Next Frontier

lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction

Mental health professionals struggle to comprehensively predict mental illness relapse or peaks in national suicide rates.

IUI '22Employing Social Media to Improve Mental Health: Pitfalls, Lessons Learned, and the Next Frontier

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

How can automatically extracted behavioral features from video (e.g., facial action units) predict neural activation levels in young children?

UbiComp '22EarlyScreen: Multi-scale Instance Fusion for Predicting Neural Activation and Psychopathology in Preschool Children

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

How does the multi-scale instance fusion (MIF) framework improve classification accuracy for emotion-regulation-related neural activation and psychopathological risk?

UbiComp '22EarlyScreen: Multi-scale Instance Fusion for Predicting Neural Activation and Psychopathology in Preschool Children

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

Can behavioral features collected by portable devices replace questionnaires and neuroimaging tools for remote diagnosis of children's psychological problems?

UbiComp '22EarlyScreen: Multi-scale Instance Fusion for Predicting Neural Activation and Psychopathology in Preschool Children

lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction

Current diagnosis of children's psychological problems relies on questionnaires and neuroimaging, which is time-consuming and difficult to scale.

UbiComp '22EarlyScreen: Multi-scale Instance Fusion for Predicting Neural Activation and Psychopathology in Preschool Children

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

How can smart glasses and AI technology achieve real-time emotion recognition and feedback?

CHI '22EmoGlass: an End-to-End AI-Enabled Wearable Platform for Enhancing Self-Awareness of Emotional Health

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

How can wearable devices help users improve self-awareness of emotional health?

CHI '22EmoGlass: an End-to-End AI-Enabled Wearable Platform for Enhancing Self-Awareness of Emotional Health

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

In everyday environments, how can emotion recognition technology balance accuracy and user experience?

CHI '22EmoGlass: an End-to-End AI-Enabled Wearable Platform for Enhancing Self-Awareness of Emotional Health

lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction

Users struggle to perceive and manage their emotional states in time, affecting mental health.

CHI '22EmoGlass: an End-to-End AI-Enabled Wearable Platform for Enhancing Self-Awareness of Emotional Health

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

Are social signals more suitable than behavioral signals for predicting self-reported psychological dimensions?

CHI '22Semantic Gap in Predicting Mental Wellbeing through Passive Sensing

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

Are behavioral signals more suitable than social signals for predicting physiological measurements of high-arousal states?

CHI '22Semantic Gap in Predicting Mental Wellbeing through Passive Sensing

helpResearch questionPassive Sensing, Behavior Modeling, and Mental State Prediction

Can multimodal data bridge the semantic gap between psychological and physiological dimension predictions?

CHI '22Semantic Gap in Predicting Mental Wellbeing through Passive Sensing

lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction

Users cannot efficiently predict mental health states with existing technologies.

CHI '22Semantic Gap in Predicting Mental Wellbeing through Passive Sensing

Adjacent categories

Health, Healthcare, and Wellbeing

Passive Sensing, Behavior Modeling, and Mental State Prediction

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Related papers

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

GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling

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

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

Semantic Gap in Predicting Mental Wellbeing through Passive Sensing

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