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The relationship between digital media use and mental health remains poorly understood, in part because real-world digital behavior is rarely captured at scale. This intensive longitudinal study tracked participants' complete natural…

Human-Computer Interaction · Computer Science 2026-03-17 Christopher A. Kelly , Yikun Chi , Nicholas Haber , Byron Reeves , Mu-Jung Cho , Thomas N. Robinson , Nilam Ram , Johannes C. Eichstaedt

The behaviors of patients with depression are usually difficult to predict because the patients demonstrate the symptoms of a depressive episode without a warning at unexpected times. The goal of this research is to build algorithms that…

Computers and Society · Computer Science 2016-03-25 Taeheon Jeong , Diego Klabjan , Justin Starren

This paper explores the identification of smartphone users when certain samples collected while the subject felt happy, upset or stressed were absent or present. We employ data from 19 subjects using the StudentLife dataset, a dataset…

Human-Computer Interaction · Computer Science 2019-07-01 Khadija Zanna , Sayde King , Tempestt Neal , Shaun Canavan

The Bluetooth sensor embedded in mobile phones provides an unobtrusive, continuous, and cost-efficient means to capture individuals' proximity information, such as the nearby Bluetooth devices count (NBDC). The continuous NBDC data can…

Current management of bipolar disorder relies on self-reported questionnaires and interviews with clinicians. The development of objective measures of deteriorating mood may also allow for early interventions to take place to avoid…

Signal Processing · Electrical Eng. & Systems 2020-07-08 Oliver Carr , Fernando Andreotti , Kate E. A. Saunders , Niclas Palmius , Guy M. Goodwin , Maarten De Vos

Preliminary detection of mild depression could immensely help in effective treatment of the common mental health disorder. Due to the lack of proper awareness and the ample mix of stigmas and misconceptions present within the society,…

Digital phenotyping offers a novel and cost-efficient approach for managing depression and anxiety. Previous studies, often limited to small-to-medium or specific populations, may lack generalizability. We conducted a cross-sectional…

Research in mental health has implicated sleep pathologies with depression. However, the gold standard for sleep assessment, polysomnography, is not suitable for long-term, continuous, monitoring of daily sleep, and methods such as sleep…

Depression is a common mental disorder that causes people to experience depressed mood, loss of interest or pleasure, feelings of guilt or low self-worth. Traditional clinical depression diagnosis methods are subjective and time consuming.…

Human-Computer Interaction · Computer Science 2022-11-22 Chuang Yu

Depressive disorder is one of the most prevalent mental illnesses among the global population. However, traditional screening methods require exacting in-person interviews and may fail to provide immediate interventions. In this work, we…

Computers and Society · Computer Science 2020-10-30 Boyu Zhang , Anis Zaman , Rupam Acharyya , Ehsan Hoque , Vincent Silenzio , Henry Kautz

We developed a novel, interpretable multimodal classification method to identify symptoms of mood disorders viz. depression, anxiety and anhedonia using audio, video and text collected from a smartphone application. We used CNN-based…

Machine Learning · Computer Science 2021-09-08 Tathagata Banerjee , Matthew Kollada , Pablo Gersberg , Oscar Rodriguez , Jane Tiller , Andrew E Jaffe , John Reynders

Depression has been a leading cause of mental-health illnesses across the world. While the loss of lives due to unmanaged depression is a subject of attention, so is the lack of diagnostic tests and subjectivity involved. Using behavioural…

Artificial Intelligence · Computer Science 2020-10-07 Shivani Shimpi , Shyam Thombre , Snehal Reddy , Ritik Sharma , Srijan Singh

Previous work has found strong links between the choice of social media images and users' emotions, demographics and personality traits. In this study, we examine which attributes of profile and posted images are associated with depression…

Human-Computer Interaction · Computer Science 2019-04-05 Sharath Chandra Guntuku , Daniel Preotiuc-Pietro , Johannes C. Eichstaedt , Lyle H. Ungar

Bipolar Disorder is a chronic psychiatric illness characterized by pathological mood swings associated with severe disruptions in emotion regulation. Clinical monitoring of mood is key to the care of these dynamic and incapacitating mood…

Human-Computer Interaction · Computer Science 2018-06-29 Soheil Khorram , Mimansa Jaiswal , John Gideon , Melvin McInnis , Emily Mower Provost

Loneliness is a critical mental health issue among university students, yet traditional monitoring methods rely primarily on retrospective self-reports and often lack real-time behavioral context. This study explores the use of passive…

Human-Computer Interaction · Computer Science 2025-12-02 Qianjie Wu , Tianyi Zhang , Hong Jia , Simon D'Alfonso

Most publicly available image quality databases have been created under highly controlled conditions by introducing graded simulated distortions onto high-quality photographs. However, images captured using typical real-world mobile camera…

Computer Vision and Pattern Recognition · Computer Science 2016-01-20 Deepti Ghadiyaram , Alan C. Bovik

Depression is a major mental health disorder that is rapidly affecting lives worldwide. Depression not only impacts emotional but also physical and psychological state of the person. Its symptoms include lack of interest in daily…

Computer Vision and Pattern Recognition · Computer Science 2017-09-19 Shubham Dham , Anirudh Sharma , Abhinav Dhall

Depression, a prevalent and serious mental health issue, affects approximately 3.8\% of the global population. Despite the existence of effective treatments, over 75\% of individuals in low- and middle-income countries remain untreated,…

Computation and Language · Computer Science 2024-07-19 Shengjie Li , Yinhao Xiao

Starting from the assumption that mood has a central role in domain-specific persuasion systems for well-being, the main goal of this study was to investigate the feasibility and acceptability of single-input methods to assess momentary…

Human-Computer Interaction · Computer Science 2023-02-07 Caterina Senette , Maria Claudia Buzzi , Maria Teresa Paratore