Persuasive Technology

.- HyperCare: An AI-driven, Personalized, and Adaptive Persuasive
Technology for Continuous Hypertension Prevention and Management.

.- HyperCare: An AI-driven, Personalized, and Adaptive Persuasive
Technology for Continuous Hypertension Prevention and Management.

.- From Bytes to Blocks: Motivating Students to Learn Microprogramming
with Minecraft.

.- Wellnify: Insights from the Longitudinal Use of an mHealth App for
Health and Wellness.

.- A Value Sensitive Design Approach to Enhancing Eye Donation
Informed Consent.

.- Parent-Child Dialogue Support Through Semi-Autonomous
Para-Operated Robot in Home Learning.

.- KosmoWalker: Designing a Social Step-Based Mobile Game for
Motivating Physical Activity.

.- Towards Personalized Conversations: How Rhetorical Framing Shapes
User Trust and Acceptance in Healthcare Chatbots.

.- Understanding User Perspectives on Persuasive Systems Design
Principles in mHealth Applications using Deep Learning Techniques.

.- Story2Change: Towards an AI-Driven Persuasive Technology for
Depression Management through Narrative Storytelling.

.- Developing a Persuasive Nutrition App based on Australian Dietary
Guidelines.

.- CalcQuest: A Gamified Abacus Learning Support System for Enhancing
Operational Proficiency.

.- Persuasive Art Experience in the Metaverse: Case of the Finnish
Metagallery.

.- Estimating the Perceived Burden of Disaster Preparedness Using
Location Data: An Exploratory Study.

.- Role-Taking as a Method for Security Behaviour Change: A Qualitative
Analysis of User Experience.

.- MyHealthCore: An Evaluation of a Community-Engaged HIV
Prevention Persuasive mHealth App Prototype for Black Communities
in Canada.

.- PostMom: An AI-driven and Culturally-Tailored Persuasive Application
for Postnatal care in Nigeria.

.- Recilify: An AI-Driven and Emotion-Adaptive Persuasive Technology
for Promoting Mental Well-Being.

.- An Empirical Study of Perceived Intrusiveness, Frequency and Darkness
of Dark Patterns.

.- Persuasive Onboarding for Automated Driving: Design and Evaluation
of Tutoring Strategies to Support Safe and Intended ADAS Use.

.- ”Yes, I will!”: Expert Perspectives on Digital Support for Patient
Participation in Breast Cancer Clinical Trial.

.- Narrative Suggestion: An Implicit Corrective Feedback Method for
Foreign Language Learning with Role-Playing AI Chatbots.

.- When More is Less: A Methodological Sensitivity Analysis of Feature
Noise and Label Binarization in Affective Computing.

.- HealKitchen: An AI-Driven, Behavior-Theory-Based Mobile Health
Application for Dietary Behavior Change.

.- Influencing Wildfire Preparedness, Mitigation, Response and Recovery.

.- Serendipitous Learning Triggered by Crossword Puzzles with
Newspaper Articles.

.- A System Specification for Digital Addiction Interventions: Integrating
the Minnesota Model with Persuasive Systems Design.

.- CEBRA-Enabled Latent Embeddings of Wearable Biosignals for
Personalized Biorhythm Modeling.

.- AWearable System for Promoting Decision Diversity through Detection
and Recall of Previous Considered Options.

.- Systematic Review of Persuasive Design Features Application in
Existing Maternal Weight Management Interventions.

.- Designing Persuasive Artificial Intelligence for Mental Health: A
Prioritization Framework to Enhance Trust and Engagement.

.- Adaptive and Personalized Ontology-Based Intervention Design for
Behavior Change.

.- Personality-Aware Reinforcement Learning for Persuasive Dialogue
with LLM-Driven Simulation.

• Erscheinungsdatum: 14.03.2026
• Autor/Autorin: Kaoru Sumi
• Reihe: Springer Nature Proceedings Computer Science
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 46.4 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 468 Seiten
• ISBN: 9783032196873
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.