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Health, Healthcare, and Wellbeing / Depression, Anxiety, and PTSD Mental Health Support

Doctors struggle to predict individualized treatment outcomes for depression patients, affecting treatment efficiency.

lightbulbPractical problemDepression, Anxiety, and PTSD Mental Health Support

Doctors struggle to predict individualized treatment outcomes for depression patients, affecting treatment efficiency.

UbiComp '22Multitask Learning for Randomized Controlled Trials: A Case Study of Predicting Depression Using Wearable Data

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lightbulbPractical problemDepression, Anxiety, and PTSD Mental Health Support

Chronic pain patients avoid movement due to fear of pain, reducing quality of life.

CHI '25Movement Sonification of Familiar Music to Support the Agency of People with Chronic Pain

lightbulbPractical problemDepression, Anxiety, and PTSD Mental Health Support

People with anxiety struggle to find non-intrusive, personalized relaxation tools.

CHI '25Sonora: Human-AI Co-Creation of 3D Audio Worlds and its Impact on Anxiety and Cognitive Load

lightbulbPractical problemDepression, Anxiety, and PTSD Mental Health Support

Depressed patients struggle to access convenient, sustainable psychological support.

UbiComp '24AlarmCare: Exploring Mobile Alarm as a Supportive Communication Channel Between Peers

lightbulbPractical problemDepression, Anxiety, and PTSD Mental Health Support

Anhedonia in patients with depression is difficult to identify and diagnose accurately with existing clinical methods.

CHI '24Reading Between the Lines: Identifying the Linguistic Markers of Anhedonia for the Stratification of Depression

lightbulbPractical problemDepression, Anxiety, and PTSD Mental Health Support

Chronic pain patients struggle to self-regulate emotions in real time and communicate pain feelings with family.

CSCW '23Sound of Care: Towards a Co-Operative AI Digital Pain Companion to Support People with Chronic Primary Pain

lightbulbPractical problemDepression, Anxiety, and PTSD Mental Health Support

Arabic mental health app users show low engagement and lack personalization and sensing features.

UbiComp '23Mobile Sensing and Engagement Features in Arabic Mental Well-Being Apps: Systematic Search and Analysis

Related papers

Movement Sonification of Familiar Music to Support the Agency of People with Chronic Pain

Kyrill Potapov, Nicolas E Gold, Temitayo Olugbade

Sonora: Human-AI Co-Creation of 3D Audio Worlds and its Impact on Anxiety and Cognitive Load

Fernanda De La Torre, Javier Hernandez, Andrew D. Wilson

Reading Between the Lines: Identifying the Linguistic Markers of Anhedonia for the Stratification of Depression

Bridianne O'Dea, Taylor A Braund, Philip J Batterham

Knowing How Long a Storm Might Last Makes it Easier to Weather: Exploring Needs and Attitudes Toward a Data-driven and Preemptive Intervention System for Bipolar Disorder

Johnna Blair, Dahlia Mukherjee, Erika F. H. Saunders