Personalised Training: Integrating Recommender Systems in XR Training Platforms. - Daniele Pretolesi (MuC (Workshopband), 2022)

Social Robots as Coaches: How Human-Robot Interaction Positively Impacts Motivation in Sports Training Sessions. - Andreas Sackl; Daniele Pretolesi; Sophia Burger; Markus Ganglbauer; Manfred Tscheligi (RO-MAN, 2022)

Collaborative Scenario Builder: A VR Co-Design Tool for Medical First Responders. - Quynh Nguyen; Daniele Pretolesi; Katja Gallhuber (GoodIT, 2023)

Human in the Loop for XR Training: Theory, Practice and Recommendations for Effective and Safe Training Environments. - Daniele Pretolesi; Olivia Zechner; Setareh Zafari; Manfred Tscheligi (MetroXRAINE, 2023)

Ethical Considerations for AI-Driven Adaptive Virtual Environments in XR Training for First Responders: An Industry Perspective. - Olivia Zechner; Daniele Pretolesi; Emma Jaespert; Daniel García Guirao; Manfred Tscheligi (MetroXRAINE, 2023)

Notifying Users: Customisation Preferences for Notifications in Health and Well-being Applications. - Daniele Pretolesi; Lenart Motnikar; Till Bieg; Jakob Carl Uhl (PERSUASIVE, 2023)

Persuasive XR Training: Improving Trainingwith AI and Dashboards. - Daniele Pretolesi; Olivia Zechner (PERSUASIVE (Adjunct), 2023)

Challenges in Virtual Reality Training for CBRN Events. - Georg Regal; Daniele Pretolesi; Helmut Schrom-Feiertag; Jaison Puthenkalam; Massimo Migliorini; Elios De Maio; Francesca Scarrone; Marina Nadalin; Massimiliano Guarneri; Grace P. Xerri; Daniele Di Giovanni; Paola Tessari; et al. (Multimodal Technol. Interact., 2023)

AI-driven big web redesign: two case studies in Italian universities. - Andrea Vian; Daniele Pretolesi; Lucia Rampino; Annalisa Barla (Ital-IA, 2024)

Can I Trust You? Exploring the Impact of Misleading AI Suggestions on User's Trust. - Daniele Pretolesi; Olivia Zechner; Helmut Schrom-Feiertag; Manfred Tscheligi (MetroXRAINE, 2024)

Geometric Deep Learning Strategies for the Characterization of Academic Collaboration Networks. - Daniele Pretolesi; Davide Garbarino; Daniele Giampaoli; Andrea Vian; Annalisa Barla (IEEE Trans. Emerg. Top. Comput., 2024)

Exploring user preferences: customisation and attitudes towards notifications in mobile health and well-being applications. - Daniele Pretolesi; Lenart Motnikar; Till Bieg; Michael Gafert; Jakob Carl Uhl (Behav. Inf. Technol., 2025)