Program

Place: the Grand Hotel Salerno

Time: October 6, 2025, 14:00 - 17:30

Introduction - The SPECTRA Project

Rita Francese, Mariacarla Staffa, and Felice Iasevoli

Keynote intervention - Visual Analytics, Visual Interactive AI in Healthcare and Well-Being

Kawa Nazemi, Head of Human-Computer Interaction & Visual Analytics and Deputy Director of the Research Center for Applied Computer Science, Member of Hessian.AI, Darmstadt University of Applied Sciences

Contributions

• Cascade Multi-Modal Emotion Recognition Leveraging Audio-Video and EEG Signals, Renato Esposito, Vincenzo Mele, Stefano Verrilli, Stefano Minopoli, Lorenzo D’Errico, Laura De Santis, Mariacarla Staffa

• X-Heart: A Human-Centered Framework for Explainable PVC Detection and Clinical Feedback, Anna Maria De Roberto, Domenico Rossi, Alessia Auriemma Citarella, Fabiola De Marco, Luigi Di Biasi, Genoveffa Tortora

• Intelligent Home Care Environment for Dementia Care, Wen-Tseng Chang, Stephanie Kramer, Michel Oey, Shihan Wang, Somaya Ben Allouch

• Toward a Virtual Environment for Rehabilitation: Early Design and Integration Perspectives, Nicole Dalia Cilia, Giovanni Garraffa, Sofia Marilina Glorioso, Vito Cammarata, Salvatore Sorce

• Automated scoring of the Thought and Language Disorder Scale in schizophrenia using a large language model: reliability and comparison with clinicians, F. Iannotta, C. Ceparano, C. Ricci, F. Iasevoli

• Supporting mental-health monitoring of patients with Social Robots, Rita Francese, Edmondo Nicolò De Simone

Discussion on the workshop themes

Keynote intervention 

Visual Analytics, Visual Interactive AI in Healthcare and Well-Being

Abstract

Healthcare and well-being are increasingly shaped by the integration of data-driven methods and artificial intelligence. Visual Analytics, as the science of analytical reasoning supported by interactive visual interfaces, enables clinicians to explore complex patient histories, stratify cohorts, and derive actionable insights from heterogeneous data sources such as electronic health records, wearables, and digital pathology. Coupling these methods with advances in artificial intelligence creates powerful synergies: machine learning enriches Visual Analytics with predictive and adaptive models, while visual interaction ensures transparency, trust, and human-centered decision-making. Building upon this foundation, Visually Interactive AI expands the paradigm toward embodied, multimodal systems that combine computer vision, speech recognition, and speaker diarization. Preliminary implementations, including a physician-like conversational agent, demonstrate how avatars could engage in empathetic health dialogues, monitor medication adherence, detect subtle cognitive changes, and promote behavioral activation. Framed within Cognition by Design, these systems highlight how AI can be deliberately embedded into daily life not to generate content, but to actively shape cognitive environments, reinforce memory, and foster social connectedness. Together, Visual Analytics and Visually Interactive AI outline a research trajectory toward adaptive, trustworthy, and ethically aligned systems that enhance clinical decision-making, enable early detection of decline, and create personalized interventions. This keynote presents both foundational principles and current prototypes, illustrating how human-centered AI can transform healthcare delivery and support cognitive health in aging societies.