Mental Health : Sensing & Intervention (2016)

In this UbiComp 2016 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 2016 workshop

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

Mental illness is becoming an increasingly pressing health care issue. Around a quarter of US adults suffer from a diagnosable mental health problem every year. These issues are particularly prevalent among younger generations.

But, often these mental health issues remain untreated and undiagnosed. Traditional use of manual survey as a monitoring tool frequently fails to record the crucial and subtle behavioral and contextual cues that might be indicative of illness onset. More importantly, due to lack of longitudinal data from individuals, the interventions are often not personalized in nature resulting in suboptimal outcomes.

Recent work from the UbiComp community has shown that mobile phone based computational platforms can be used to overcome some of these limitations. However, before such technologies can be deployed and used for the detection and prevention of mental health problems, a number of key challenges needs to be addressed. In this workshop, we plan to tackle some of these issues by exploring novel technologies, analysis methodologies and design techniques.  We are hoping to bring together researchers interested in developing and deploying mobile systems in the context of mental health. We wish to provide a common forum to share recent findings and insights in developing and deploying such systems.

In particular we will invite to submit papers in the following areas:

  • Design and implementation of mobile phone based computational platforms to collect health and mental well-being data.

  • Integration of multimodal data from different sensor streams for personalized predictive modeling.

  • Automated inference of high-level contexts relevant to mental health and well-being from sensor data.

  • Developing robust behavioral models that can handle data sparsity and mis-labeling issues.

  • Designing and implementing feedback and visualization for both participants and caregivers.

  • Development of smartphone based automated behavioral interventions focusing on mental health and well-being.

Call For Participation

Submission Deadline

The deadline for submission is June 14, 2016 (11:59 PDT)

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

Work in Progress

We encourage submissions of work-in-progress papers.


Time Event
9:30–10:30 Intro keynote speaker: Andrew Campbell. Keynote title: My brother Ed: Mental illness was not his choice
10:30–11:00 Coffee break
11:00–12:30 Paper Session I

12:30–14:00 Lunch
14:00–15:30 Paper Session II

15:30–16:00 Coffee break
16:00–16:30 Discussion
16:30–17:30 Closing keynote speaker: Gregory Abowd. Keynote title: Mental Health: A driving application for 4th Generation Computing.
19:00–20:30 Dinner

Program Committee


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Saeed Abdullah

PhD Student in Information Science, Cornell University.

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Varun Mishra

PhD Student in Computer Science, Dartmouth College.

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Andrew Campbell

Professor of Computer Science, Dartmouth College.

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Tanzeem Choudhury

Associate Professor in Information Science, Cornell University.

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Gregory Abowd

Distinguished Professor in the School of Interactive Computing at Georgia Tech.