Data di Pubblicazione:
2026
Abstract:
The growing integration of Artificial Intelligence (AI) into interactive systems presents unique challenges and opportunities for Human-Computer Interaction (HCI) and User Experience (UX). While AI can enhance usability and provide novel interaction paradigms, it also raises concerns related to transparency, control, and user trust. This workshop seeks to bring together researchers and practitioners to discuss state-of-the-art engineering methods that support HCI and UX in AI-driven systems. By fostering interdisciplinary collaboration, we aim to identify key challenges, share best practices, and develop a roadmap for future research in this critical area.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Keywords:
AI-assisted Decision-Making; AI-driven HCI; Ethical AI Engineering; Explainable AI (XAI); User Experience (UX) in AI;
Elenco autori:
Spano, L. D.; Palanque, P.; Martinie, C.; Campos, J. C.; Schmidt, A.; Barricelli, B. R.; Elagroudy, P.; Luyten, K.
Link alla scheda completa:
Titolo del libro:
Lecture Notes in Computer Science
Pubblicato in: