Accepted Papers

2025-10-17T10:36:29Z

These papers will be presented at AXAI 2025, held on March 24, 2025 in Cagliari, Italy, during IUI 2025. The proceedings will be published in the joint IUI 2025 Workshop Proceedings through CEUR-WS.

A User-in-the-loop Digital Twin for Energy Consumption Prediction in Smart Homes Davide Guizzardi, Barbara Rita Barricelli, and Daniela Fogli
University of Brescia
"Loss in Value": What it revealed about WHO an explanation serves well and WHEN Md Montaser Hamid, Jonathan Dodge, Andrew Anderson, and Margaret Burnett
Oregon State University, Pennsylvania State University, and IBM Research
Human Factors in Human-Feature-Integration Yixin Li, Lucas Lefebvre, Sonali Parbhoo, Finale Doshi-Velez, and Isaac Lage
Colby College, Imperial College London, and Harvard University
Talking Back - human input and explanations to interactive AI systems Alan Dix, Tommaso Turchi, Ben Wilson, Anna Monreale, and Matt Roach
Cardiff Metropolitan University, University of Pisa, and Swansea University
Explainable Biomedical Claim Verification with Large Language Models Siting Liang and Daniel Sonntag
German Research Center for Artificial Intelligence
APOLLO: A GPT-based tool to detect phishing emails and generate explanations that warn users Giuseppe Desolda, Francesco Greco, and Luca Viganò
University of Bari and King's College London
Context-dependent Explainable Daily Automations Simone Gallo, Sara Maenza, Andrea Mattioli, and Fabio Paternò
ISTI-CNR
XFERa: Xplainable Emotion Recognition for improving transparency and trust Vito Nicola Losavio, Berardina De Carolis, Nicola Macchiarulo, Corrado Loglisci, Maria Grazia Miccoli, and Giuseppe Palestra
University of Bari
Explainable Artificial Intelligence Across Various Scales of Interaction and Experience, From Wearable to Ambient Radu-Daniel Vatavu
Stefan cel Mare University of Suceava
Interactive Visual Exploration of Latent Spaces for Explainable AI: Bridging Concepts and Features Carlo Metta, Eleonora Cappuccio, and Salvatore Rinzivillo
ISTI-CNR and University of Pisa
Mitigating Misleadingness in LLM-Generated Natural Language Explanations for Recommender Systems: Ensuring Broad Truthfulness Through Factuality and Faithfulness Ulysse Maes, Lien Michiels, and Annelien Smets
imec-SMIT, Vrije Universiteit Brussel
Human-Centered Design for Accessible and Sustainable XAI in Healthcare Giovanni Arras, Tommaso Turchi, Giuseppe Prencipe, and Giuseppina Sgandurra
University of Pisa
Toward a Human-Centered Metric for Evaluating Trust in Artificial Intelligence Systems Andrea Esposito, Giuseppe Desolda, and Rosa Lanzilotti
University of Bari Aldo Moro

Special Issue

Selected papers will be invited for submission in expanded form to a joint special issue together with invited papers from the SYNERGY workshop on "Designing and Building Hybrid Human–AI Systems". Further instructions regarding formatting and the review/publication process will be provided when the invitations are sent.

Adaptive XAI

Accepted Papers

Special Issue