Mental Health : Sensing & Intervention (2017)

In this UbiComp 2017 workshop, we are hoping to bring researchers together to discuss various requirements, opportunities, challenges and next steps in developing a holistic approach for sensing and intervention in the context of mental health.

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UbiComp 2017 workshop

Monday, September 11, 2017

Maui, Hawaii, USA

This workshop has already taken place. For the current year's workshop, please go here.

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.

Call For Participation

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.

Important Dates

  • Submission deadline: June 16th, 2017 (11:59 PM PDT)

  • Decisions to authors: July 10, 2017

  • Camera-ready deadline: July 17, 2017

Paper Format

Regular (up to 9 pages) or short (up to 5 pages) paper using SIGCHI Extended Abstract format. Papers should be in PDF format and not anonymized.

Submission Site

Submissions can be made at

Submission Options

All accepted papers will be included in the ACM Digital Library as part of UbiComp conference supplemental proceedings. Papers will be reviewed by the workshop's technical program committee according to criteria regarding a submission's quality, relevance to the workshop's topics, and, foremost, its potential to spark discussions about directions, insights, and solutions in the context of mental health, sensing, and intervention. Research papers, case studies, and position papers are all welcome.

In particular, we encourage authors to keep the following options in mind when preparing submissions:

  • Works-In-Progress: To facilitate sharing of thought-provoking ideas and high-potential though preliminary research, authors are welcome to make submissions describing early-stage, in-progress, and/or exploratory work in order to elicit feedback, discover collaboration opportunities, and generally spark discussion.

  • Special Issue on Computing and Mental Health in the Journal of Medical Internet Research (JMIR): When submitting to the workshop, authors will have the option to specify if they would like an expanded version of their paper 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 early 2018. Please see the Special Issue Call for Papers for full details. This JMIR special issue will also include manuscripts similarly solicited from the related workshop on Computing and Mental Health held annually at CHI.

Keynote Speaker

Dror Ben-Zeev

Dror Ben-Zeev

Professor, Department Psychiatry and Behavioral Sciences, University of Washington


Time Event
9:00–9:30 Poster setup and introduction
9:30–10:30 Keynote speaker: Dror Ben-Zeev
10:30–11:00 Coffee break over posters
11:00–12:30 Paper presentations
12:30–14:00 Mentoring lunch with organizers and senior researchers
14:00–15:30 Focused session and group discussion
Potential themes:
  • Study design and evaluation
  • IoT and mental health
  • Integrating with clinical care
  • Long term engagement and adherence
  • Best practices for intervention design
15:30–16:00 Coffee break
16:00–17:30 Panel discussion
Potential topics:
  • Funding strategy
  • Publishing strategy
  • Entrepreneurship and commercialization
  • Interdisciplinary collaboration strategy
17:30–17:40 Closing remarks
19:00 Dinner

Program Committee


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Saeed Abdullah

Assistant Professor, Penn State.

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Elizabeth Murnane

Postdoctoral Scholar, Stanford University.

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Mirco Musolesi

Reader in Data Science, UCL.

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Jakob E. Bardram

Professor, Technical University of Denmark.

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Tanzeem Choudhury

Associate Professor in Information Science, Cornell University.


If you have any questions, please feel free to send an email to