This book constitutes the refereed proceedings of the 21st International Conference on Persuasive Technology, PERSUASIVE 2026, held in Hakodate, Japan, during March 11–13, 2026.
The 25 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 104 submissions.
They focus on all aspects of design, development, and evaluation of interactive systems aimed at influencing people’s attitudes and behaviors through persuasion.
Edited by:
Kaoru Sumi,
Raian Ali,
Roberto Legaspi
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Dimensions:
Height: 235mm,
Width: 155mm,
ISBN: 9783032196866
ISBN 10: 3032196868
Series: Lecture Notes in Computer Science
Pages: 468
Publication Date: 15 March 2026
Audience:
Professional and scholarly
,
College/higher education
,
Undergraduate
,
Further / Higher Education
Format: Paperback
Publisher's Status: Active
.- 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.