Pervasive Computing Technologies for Healthcare

19th EAI International Conference, Pervasive Health 2025, Eindhoven, The Netherlands, October 15-17, 2025, Proceedings, Part II
Erscheinungsjahr 2026
ISBN: 978-3-032-27584-4
Verlag: Springer Nature Switzerland AG

Buch, Englisch, 310 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

This two-volume set LNICST 693-694 constitutes the refereed proceedings of the19th EAI International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2025, held in Eindhoven, The Netherlands during October 15–17, 2025.

The 43 full papers, 10 posters, 6 position papers, and 3 workshop proposals included in these volumes were carefully reviewed and selected from 140 submissions. They are organized into topical sections as follows:

Part I: AI Companions & LLM Driven Behavior Change; Sleep & Physiological Monitoring: IoT, Signals & ML; Mental Health Sensing & Just in Time Support; Aging, Community Care & Assistive Technologies; Physical Activity: Analytics, Decision Support & Engagement; and Designing & Evaluating Digital Health Interventions.

Part II: Designing & Evaluating Digital Health Interventions; Design, Requirements & Health Data Representation; Bio-inspired Information and Communications Technologies; Position Papers; Posters & Demos; and Workshop Proposals.

Zielgruppe

Research

Autoren/Hrsg.

Hu, Jun

Coninx, Karin

Yu, Bin

Borzì, Luigi

Houben, Maarten

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Wirtschaftswissenschaften Volkswirtschaftslehre Gesundheitsökonomie

Inhaltsverzeichnis

.- Designing & Evaluating Digital Health Interventions.

.- TacoTask – A Homework Task Management Tool for Children and their Parents.

.- Designing VR for Chronic Pain: Transforming AI-Powered Biofeedback to Interoceptive Awareness and Neuromodulation.

. - Design, Requirements & Health Data Representation.

.- A User-Centred Design Process Framework for Wearable Air Pollution Monitoring Devices.

.- Eliciting Design Requirements for Emerging Microscopy Technologies.

.- Exploring Data Physicalization and Hydration for Office Well-being.

.- Clarity or Abstraction? Semantic Preferences for Health Data Representations among Older Adults and Experts.

.- Exploring Stakeholder Perspectives on Sharing Context-Sensitive Data with an mHealth App for LLM-Generated Personalized Content.

.- Bio-inspired Information and Communications Technologies.

.- An Intelligent Multi-Agent Health System to Enhance Elderly Care.

.-  Continual Learning of Feedback-based Molecular Communication.

.- Investigations of Relay Placements to Enhance Communication in Biofilm.

.- Evolutionary Multi-objective 3D Topology Optimization Using SIMP-Based Density Interpolation.

.- Memory Usage Attack Mitigation Strategies in Modern Healthcare Environments.

.- Position Papers.

.- Constitutional AI and Behavior Change: Ethical Frameworks for Trust and Adoption in Clinical LLM Deployment.

.-  Re-examining the Role of Co-design in Digital Health Interventions: The SO-NUTS Case.

.- Designing for Behavioural Compliance in Post-Stroke Rehabilitation: Insights from the NeuHand Digital Therapy System.

.-  Inclusive Design, Co-creation and Evaluation of Digital Health for Individuals with a Mild Intellectual Disability.

.- MR-based Walking Companions for Socially-Motivated Physical Activity: Elemental Allies Beside You.

,.- From Negative Moods to Collective Energy: Physical Interfaces for Mood-Aware Workspaces.

.- Posters & Demos.

.- CentraMate: A Wearable Multimodal Assistive Technology for Monitoring and Intervention to Support ADHD within Daily Life Context.

.- Evaluating OpenDBM for Emotion Intensity Prediction: A Comparative Study Using Facial and Physiological Data.

.- Empowering Patient-Centered Care: AI-Driven Pre-Visit Tool to Enhance Patient Engagement and Diagnostic Accuracy.

.- Leveraging AI for Low Literacy: Rethinking Interaction Accessibility Through Document Simplification.

.- Multi-center Machine Learning Challenges and Evaluation: A Clinical Use Case.

.- StressIT: An ECG Dataset for Stress Detection Using a Polar H10 Sensor.

.- Predicting Numeric Hemoglobin A1c for Individualized Type 2 Diabetes Care Using Machine Learning: A MIMIC-IV Study.

.- Virtual Agents for Post-COVID Syndrome Patients.

.- Design of Wearable-Based Real-Time Stress Detection and Breathing Intervention.

.- Nova: A Tangible Conversational Support System for Family-Centric Cardiac Rehab.

.- Workshop Proposals.

.- Walking Together for Motivating Environment.Rethinking Healthcare Technology Innovation: Design for Behavior Change

.- Rethinking Healthcare Technology Innovation: Design for Behavior Change.