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CfP: 7th International Workshop on Mental Health and Well-being: Sensing and Intervention (MHSI)
September 15, 2022 — Hybrid (Atlanta, USA & online)

**DEADLINE EXTENDED to August 24th 2022**

Mental health issues affect a significant portion of the world’s population and can result in debilitating and life-threatening outcomes. To address this increasingly pressing healthcare challenge, there is a need to research novel approaches for early detection and prevention. In particular, ubiquitous systems can play a central role in revealing and tracking clinically relevant behaviors, contexts, and symptoms. Further, such systems can passively detect relapse onset and enable the opportune delivery of effective intervention strategies.

However, despite their clear potential, the uptake of ubiquitous technologies into clinical mental healthcare is rare, and a number of challenges still face the overall efficacy of such technology-based solutions. The goal of this workshop is to bring together academic and industry researchers interested in identifying, articulating, and addressing such issues and potential opportunities. Following the success of this workshop in the last four years, we aim to continue facilitating the UbiComp community in developing a holistic approach for sensing and intervention in the context of mental health.

Topics of Interest

We invite submissions in the areas and intersections of mental health, well-being, ubiquitous computing, and human-centered design, including but not limited to:

— Design and implementation of computational platforms (e.g., mobile phones, instrumented homes, skin-patch sensors) to collect health and well-being data.
— Investigation of new methodologies for intervention (e.g., conversational agents, AR/VR applications).
— Design of automated inference systems from sensor data of high-level contexts (environmental, social) indicative of mental health status.
— Design and implementation of feedback (e.g., reports, visualizations, proactive behavioral interventions, subtle or subconscious interventions etc.) for both patients and caregivers.
— Development of robust behavioral models that can handle data sparsity and mislabeling issues.
— Integration of multimodal data from various sensor streams for personalized predictive modeling.
— Development of methods for sustaining user adherence and engagement over long periods of time.
— Design of privacy-preserving strategies for data collection, analysis, and management.
— Deployment in low-income communities/countries.
— Identification of opportunities for UbiComp approaches (e.g., digital phenotyping, predictive modeling, micro-randomized intervention trials, adaptive interventions) to better understand factors related to addiction, drug use, and treatment efficacy and devise a research agenda in this space.
— Integration of ubiquitous technologies into existing healthcare infrastructures and government policy.
— Ethical aspects and frameworks for ubiquitous technologies for mental health.
— Experience reports from clinical studies in any phase, from early pilot studies to large-scale clinical trials.
— Experience report on regulatory issues of UbiComp technologies for mental health, including FDA approval or CE marking.

Submission Format

We are soliciting three types of contributions for the workshop:

— Regular scientific papers both in a short (up to 3 pages) and long (up to 6 pages) format.
— Challenge papers (describing a specific challenge to be pitched and discussed at the workshop)
— Demonstrations (describing developed technologies or early systems to be demonstrated at the workshop)

All papers should use the ACM ‘sigconf' template (https://www.acm.org/publications/proceedings-template).


Important Dates:

— Submission deadline: August 24 2022 (11:59 PM EDT)
— Decisions to authors: August 31, 2022
— Camera-ready deadline: September 3, 2022.
— Workshop day: September 15, 2022

Workshop website: https://ubicomp-mental-health.github.io/

Organizers:

Varun Mishra, Northeastern University
Akane Sano, Rice University
Sahiti Kunchay, Pennsylvania State University
Saeed Abdullah, Pennsylvania State University
Jakob E. Bardram, Technical University of Denmark
Elizabeth L. Murnane, Dartmouth College
Tanzeem Choudhury, Cornell University
Mirco Musolesi, University College London
Giovanna Nunes Vilaza, Technical University of Denmark
Rajalakshmi Nandakumar, Cornell Tech
Tauhidur Rahman, UC San Diego
Xuhai Xu, University of Washington
Zach King, Rice University
Manasa Kalanadhabhatta, UMass Amherst
Dan Adler, Cornell University
Rony Krell, Optum Labs


--
Varun Mishra
Interdisciplinary Assistant Professor
Khoury College of Computer Sciences &
Bouvé College of Health Sciences
Northeastern University
https://varunmishra.com<https://varunmishra.com/>

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