Pervasive Computing Technologies for Healthcare (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering)

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Pervasive Computing Technologies for Healthcare (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering)

Hu, Jun (EDT)/ Coninx, Karin (EDT)/ Yu, Bin (EDT)

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Springer, Berlin; Springer Nature Switzerland; Springer（2026/06発売）
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製本 Paperback:紙装版/ペーパーバック版
商品コード 9783032275844

Full Description

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.

.- 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.