Pervasive Computing Paradigms for Mental Health: 7th International Conference, MindCare 2018, Boston, MA, USA, January 9–10, 2018, Proceedings

Where Computing Meets Mental Health

The 7th International Conference on Pervasive Computing Paradigms for Mental Health, held at MIT’s Samberg Conference Center in January 2018, brought together researchers and practitioners from more than 30 countries. This volume collects the peer-reviewed proceedings of MindCare 2018, capturing a pivotal moment when wearable sensors, virtual environments, machine learning, and voice interfaces began to converge with clinical psychology and neuroscience.

What the Proceedings Cover

The contributions explore how advanced computing and communication technologies can support well-being through continuous data collection and personalized treatment. The scope is deliberately interdisciplinary, moving from basic psychophysiological research to applied e-health interventions.

• Affective and cognitive measurement: studies on emotion elicitation, attention, and autobiographical recall.
• Aging and frailty: scientometric analysis, aging simulator suits, and cognitive decline in Alzheimer’s disease.
• Digital therapeutics and assessment: portable interoceptive stimulation, tablet learning after 65, and 3D body scanning in medicine and psychology.
• Positive psychology and engagement: game transfer phenomena, mindful aging apps, and e-health interventions for breast cancer patients.
• Chronic condition self-management: mobile adherence data and in-app notes for diabetes care.

Research Themes and Methods

The editors have assembled work that spans quantitative, qualitative, and computational approaches. You’ll find psychophysiological experiments, bibliometric analyses, protocol designs, and qualitative studies of health professionals’ attitudes. The common thread is a commitment to understanding how pervasive technologies can be designed, evaluated, and integrated into real-world mental health care.

Who Will Find It Useful

This proceedings volume is intended for researchers, graduate students, and practitioners working at the intersection of computer science, psychology, medicine, and human-computer interaction. It will be particularly relevant to those developing or evaluating digital mental health tools, from wearables and virtual reality to mobile apps and machine learning models. Clinicians and health informatics specialists looking for evidence-based technology approaches will also find substantive material here.

Part of the LNICST Series

Published by Springer as volume 253 of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, the book maintains the series’ high standard of peer-reviewed, timely research. The 2018 edition captures both the optimism and the methodological rigor of a field that continues to evolve rapidly.

Please note: This is a digital ebook edition. No physical disc or printed copy is included.