In this UbiComp 2025 workshop, we are hoping to bring together researchers, service providers, practitioners, and industry professionals to collaboratively explore the challenges of designing, implementing, and validating ubiquitous computing technologies in mental healthcare and discuss strategies for evaluating and validating these technologies in real-world clinical settings.
Find Out MoreUbiquitous computing technologies (UbiComp) are emerging as crucial tools for collecting behavioral, physiological, social, and environmental data to enable early symptom detection, deliver preventative interventions, and support ongoing symptom management. With decades of success in demonstrating the feasibility of using UbiComp technologies to support well-being and mental health in general populations, researchers are exploring the use of these technologies for clinical populations living with mental illness, such as schizophrenia. However, designing, implementing, and validating these technologies in a clinical setting is complex and faces multiple challenges, including ensuring clinical relevance, developing novel analytics systems, integration into existing care systems, user engagement, ethical considerations, and long-term feasibility.
This workshop aims to bring together researchers, service providers, practitioners, and industry professionals to collaboratively explore these challenges and discuss strategies for evaluating and validating these technologies in real-world clinical settings. We are calling for papers that inspire new research directions, including co-designing systems with multiple healthcare stakeholders. Building on nine years of success, we continue to support the UbiComp community in advancing reliable, responsible, and effective mental health technologies that can potentially extend UbiComp technologies to support improving patient outcomes in clinical settings at scale.
We are introducing a special call for workshop papers that inspire new research directions, particularly those highlighting the real-world impact of UbiComp research on mental healthcare. We encourage submissions that present early-stage findings or exploratory ideas that may not yet be fully developed for archival publication but are valuable to the community.
We are also excited to announce that the Data for Science and Health Team from Wellcome will be joining our workshop this year—bringing their global perspective on advancing research and innovation in mental health.
Relevant topics may include, but are not limited to:
Ethical frameworks for developing and implementing ubiquitous technologies for mental health, particularly in historically underserved communities.
Experience reports from clinical or implementation studies at any stage of the healthcare system, from early pilots to large-scale clinical trials.
Identification of opportunities for ubiquitous computing technologies to address the mental health impacts of global environmental and societal challenges, including natural disasters (e.g., hurricanes, wildfires) and geopolitical instability.
Integration of ubiquitous technologies into existing healthcare infrastructures, including reimbursement models, regulatory frameworks, and policy.
Investigation of emerging methodologies for intervention, such as conversational agents or AR/VR-based applications,including their effectiveness in delivering personalized support, enabling real-time adaptation, and aligning with clinical workflows.
Proposals for novel frameworks to implement and sustain ubiquitous computing technologies for mental healthcare in both clinical and everyday settings.
Reflections on the real-world deployment of ubiquitous com- puting technologies to improve mental health and well-being across diverse populations, including insights on implementation barriers, user engagement, cultural responsiveness, and strategies for long-term sustainability.
We still encourage submissions from other topics, including but not limited to (in alphabetical order):
Analyses of fairness and bias in mental health-ubiquitous computing technologies.
Design and implementation of computational platforms (e.g., mobile phones, instrumented homes, skin-patch sensors, on-device ML models) to collect health and well-being data.
Design and implementation of feedback or decision-support (e.g., reports, visualizations, proactive behavioral interventions, subtle or subconscious interventions, etc.) for clinicians, patients, and caregivers toward improved mental health.
Design of privacy-preserving strategies for data collection, analysis, and management.
Development of methods for sustaining user adherence and engagement over the course of an intervention.
Identification of opportunities for UbiComp approaches (e.g., digital phenotyping, predictive modeling, micro-randomized intervention trials, adaptive interventions) to better understand factors related to substance abuse.
Explainable artificial intelligence methods to process dense sensor time-series to inform clinicians efficiently for clinical decision support.
Machine learning algorithms, such as domain adaptation or few-shot learning, to efficiently develop models that can quickly adapt to populations with varying mental health conditions and demographic backgrounds or longitudinally adapt to changing conditions in individuals.
Integration of edge and cloud computing frameworks within clinical decision support systems in mental healthcare to support long-term use of ubiquitous computing for augmenting evidence-based interventions.
Study design integrating heterogeneous sensors (video, audio, wearable, mobile devices or other ubiquitous technologies, such as WiFi or RF signals) to quantify mental health- related behaviors at home or in the clinic.
Novel datasets collecting mental health behaviors from clinical populations, understudied in previous UbiComp research, such as psychosis, aging, pediatric, etc.
Investigation of generative models or agentic systems, such as LLM, for mental health sensing and interventions.
Submission deadline: 4th July, 2025
Decisions to authors: 14th July, 2025
Camera-ready deadline: 24th July, 2025
Workshop: 12th/13th Oct (TBD), 2025
All items due 11:59 PM AoE
We are soliciting six types of contributions (see below). Papers should be submitted using the UbiComp/ISWC 2025 proceedings format. Papers should be in PDF format and not anonymized.
To submit, please use the below details: https://new.precisionconference.com/
Society: SIGCHI
Conference: UbiComp/ISWC 2025,
Track: UbiComp/ISWC 2025 Mental Health
We are soliciting six types of contributions for the workshop as follow:
Scientific papers describing novel technologies, approaches, and studies related to ubiquitous computing and mental health. We encourage these submissions to focus on learnings that are beneficial for the community and not finished contributions.
Challenge papers, in which authors describe a specific challenge to be pitched and discussed at the workshop. These papers often lead to a lively discussion during the workshop and to new directions for future work.
Demonstrations, to facilitate authors demonstrating developed technologies and early systems at the workshop.
Experience reports that can introduce novel perspectives on real-world implementation, such as in clinical settings or historically underserved communities.
Critical reflections of one’s own research or existing research at the intersection of ubiquitous computing and mental healthcare. We expect critical reflection papers to contribute towards better research practices in the community.
Dataset papers, in which authors invite researchers to advance analytical methods.
Submissions may be up to 6 pages in length, including figures and references. Shorter papers (e.g., 3-page submissions) are also welcome.
All submissions should be formatted using the 2-column ACM proceedings template.
This workshop uses a single-blind review process; all submissions must include the names and affiliations of all authors.
All submitted papers will be reviewed and judged on originality, technical correctness, relevance, and quality of presentation. We explicitly invite submissions of papers that describe preliminary results or work-in-progress, including early translational experiences.
The accepted papers will appear in the UbiComp supplemental proceedings and in the ACM Digital Library (DL). Authors of accepted papers will be invited to present their work in person and receive feedback from attendees. We plan to have a fully in-person workshop in Espoo, Finland.
Please also see this general guideline if you plan to submit your accepted paper archived in ACM DL to other peer-reviewed venues, like IMWUT. — IMWUT, by default, UbiComp workshop papers are not considered for publication in IMWUT. The authors are also allowed to "re-use and re-submit the content to other peer-reviewed venues”. The new manuscript would require at least 25% of new material (conceptually, not just text) per ACM guidelines, and, in this case, it would be prudent to include the previous submission together with the new one.
You can also “choose not to" archive your accepted paper in ACM DL. In this case, please notify the organizers once your paper has been accepted.
| Time (Local to Espoo, Finland) | Event |
|---|---|
| 9:00 AM - 9:30 AM | Opening remarks |
| 9:30 AM - 10:30 AM | Keynote speaker 1: Lampros Bisdounis, DPhil, Data for Science and Health Team, Wellcome Trust |
| 10:30 AM – 11:00 AM | Speed networking and coffee break |
| 11:00 AM – 12:30 PM | Workshop paper feedback sessions
|
| 12:30 PM - 2:30 PM | Networking lunch with workshop attendees (Location: TBD) |
| 2:30 PM – 3:45 PM | Group discussion and brainstorming with attendees and Wellcome:
Potential topics: |
| 3:45 PM - 4:00 PM | Coffee break |
| 4:00 PM – 5:00 PM | Keynote speaker 2: Gari D. Clifford, DPhill, Emory University and Georgia Institute of Technology |
| 5:00 PM – 5:30 PM | Closing remarks and best paper award |
| 5:30 PM – 8:00 PM | Networking dinner with workshop attendees (Location: TBD) |
Hyeokhyen Kwon (Co-Lead)
Talayeh Aledavood (Co-Lead)