Mental health and wellbeing are one of the most challenging issues in modern society. For example, moderate stress can help a person in many beneficial ways to confront a challenge. On the other hand, excessive stress, a common phenomenon in our society, can cause overall negative health and wellbeing impact, such as increasing susceptibility to infection and illness, affecting a diverse range of physical, psychological and behavioral conditions (i.e., anxiety, depression, sleep disorders, or decreasing job productivity). Furthermore, mental disorders such as depression and schizophrenia, if not monitored and treated timely, can lead to further degradation of the person’s mental health and wellbeing. The ability to measure stress levels or mental health could enable better self-management of one’s behavioral choices in ways that might be intervened timely.
While various methods have been proposed for automatic stress or mental health detection using wearable or mobile phone data, it is far from solved. Besides, it is an understudied research question of reproducibility, due to the lack of a proper publicly accessible dataset and baselines. This workshop introduces to the research community the publicly accessible datasets with both anonymized hand-crafted features and deep features for in the wild stress and mental health sensing challenges, including:
The goal of this workshop: is to inspire ideas and collaborations, raise awareness of reproducibility problems in modeling wearable data in the wild, and drive the research frontier. Publicly sharing the datasets, including both features and baselines, will accelerate research activity such as multimodal wearable/mobile sensor data processing and modeling, handling missing data, and personalization. We will accept
(1) research papers about the detection/prediction of stress and mental health using wearable/mobile sensors
(2) research papers about technical solutions using our open stress datasets
(3) challenge papers in which authors described a specific challenge to be pitched and discussed at the workshop.
Selected challenge participants and paper authors are invited to present their work at the workshop without workshop registration fee.
Challenge site opens: Monday April 04, 2022
Training data release: The end of April, 2022
Testing phase begins: Monday May 16, 2022 (Open!)
Competition signup ends: Wednesday, June 1, 2022
Competition ends: Thursday June 30 AoE, 2022
Paper/technical report submission deadline: Thursday June 30 AoE, 2022 (Open!)
Workshop date: Monday July 11 13:30–17:30 (local time), 2022