===== CALL FOR PAPERS =====2nd UbiComp Workshop on Mental Health and Well-being: Sensing and Intervention
To be held at the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) collocated with the ACM International Symposium on Wearable Computers (ISWC)Maui, Hawaii, USASeptember 11-15, 2017
* Workshop homepage: https://ubicomp-mental-health.github.io/* For any questions, please email: [log in to unmask]
*** Important Dates ***- Extended deadline for submissions: June 16, 2017- Decisions to authors: July 1, 2017- Deadline for camera ready versions: July 8, 2017- Date of workshop: September 11, 2017
*** Motivation ***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 researchers interested in identifying, articulating, and addressing such issues and opportunities. Following the success of last year’s inaugural workshop, 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, etc.) to collect health and well-being data.- Development of robust behavioral models that can handle data sparsity and mislabeling issues.- Integration of multimodal data from different sensor streams for personalized predictive modeling.- Automated inference from sensor data of high-level contexts (e.g., environmental, social, etc.) indicative of mental health status.- Design and implementation of feedback (e.g., reports, visualizations, proactive behavioral interventions, etc.) for both patients and caregivers.- Development of smartphone based automated behavioral interventions focusing on mental health and well-being.- Methods for sustaining user adherence and engagement over long periods of time.- Devising privacy-preserving strategies for data collection, analysis, and management.- Deployment in low-income communities and countries.- Identifying ways to better integrate ubiquitous technologies into existing healthcare infrastructures and government policy.
*** Submission Format ***We will accept regular (up to 9 pages) and short (up to 5 pages) paper contributions. All submitted papers will be reviewed and judged on originality, technical correctness, relevance, and quality of presentation. Accepted papers will appear in the UbiComp supplemental proceedings and in the ACM Digital Library. Research papers, case studies, and position papers are all welcome. In particular, we encourage authors to keep the following options in mind:- Works-In-Progress: We explicitly invite submissions of papers that describe preliminary results or work-in-progress. - JMIR Special Issue: During submission, authors can specify if they would like to be considered for inclusion in an upcoming special issue in JMIR dedicated to the topic of computing and mental health. Authors selected for inclusion would then be invited to expand their workshop submission to a full length manuscript of no more than 7,500 words, due in mid-Fall 2017. Please see our website for more details: https://ubicomp-mental-health.github.io/#CfP
*** Organizers ***Saeed Abdullah, Cornell UniversityElizabeth Murnane, Cornell UniversityMirco Musolesi, University College LondonJakob E. Bardram, Technical University of DenmarkTanzeem Choudhury, Cornell University
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