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2020 – today
- 2026
[j4]Andrea Campagner
, Caterina Fregosi, Chiara Natali, Federico Cabitza:
Under what influence: Measuring AI influence to fit user profiles in decision-making. Int. J. Hum. Comput. Stud. 210: 103763 (2026)- [c10]Caterina Fregosi, Lucia Vicente, Andrea Campagner, Federico Cabitza:
Too Sure for Our Own Good: A User Study on AI Confidence and Human Reliance. AAAI 2026: 17445-17453 - 2025
- [j3]Lucia Vicente, Helena Matute, Caterina Fregosi, Federico Cabitza:
Machine learning systems as mentors in human learning: A user study on machine bias transmission in medical training. Int. J. Hum. Comput. Stud. 198: 103474 (2025) - [j2]Laura Bergomi, Giovanna Nicora, Marta Anna Orlowska, Chiara Podrecca, Riccardo Bellazzi, Caterina Fregosi, Francesco Salinaro, Marco Bonzano, Giuseppe Crescenzi, Francesco Speciale, Santi Di Pietro, Valentina Zuccaro, Erika Asperges, Paolo Sacchi, Pietro Valsecchi, Elisabetta Pagani, Michele Catalano, Chandra Bortolotto, Lorenzo Preda, Enea Parimbelli:
Which explanations do clinicians prefer? A comparative evaluation of XAI understandability and actionability in predicting the need for hospitalization. BMC Medical Informatics Decis. Mak. 25(1): 269 (2025) - [j1]Federico Cabitza, Andrea Campagner, Caterina Fregosi, Matteo Cameli, Enrico Gallazzi, Luca Maria Sconfienza, Gian Eugenio Tontini:
Five Degrees of Separation: Investigating the Unexpected Potential of Displaced Human-AI Collaboration Protocols for Apter AI Support. Proc. ACM Hum. Comput. Interact. 9(7): 1-28 (2025) - [c9]Caterina Fregosi, Chiara Natali, Federico Cabitza:
Judicial Protocols in Diagnostic AI: Contrastive Explanations to Preserve Human Agency. HHAI Workshops 2025: 124-131 - [c8]Federico Cabitza, Lorenzo Famiglini, Caterina Fregosi, Samuele Pe, Enea Parimbelli, Giovanni Andrea La Maida, Enrico Gallazzi:
From Oracular to Judicial: Enhancing Clinical Decision Making through Contrasting Explanations and a Novel Interaction Protocol. IUI 2025: 745-754 - [c7]Federico Cabitza, Caterina Fregosi, Lucia Vicente:
Too Sure for Trust. The Paradoxical Effect of Calibrated Confidence in Case of Uncalibrated Trust in Hybrid Decision Making. xAI (1) 2025: 233-254 - [c6]Caterina Fregosi:
How to Explain in XAI? - Investigating Explanation Protocols in Decision Support Systems. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2025: 385-392 - 2024
- [c5]Caterina Fregosi, Andrea Campagner, Chiara Natali, Federico Cabitza:
Assessing appropriate reliance: a framework for evaluating AI influence on user decision-making. AIxHMI@AI*IA 2024 - [c4]Alessandro Facchini, Caterina Fregosi, Chiara Natali, Alberto Termine, Ben Wilson:
Algorithmic Authority & AI Influence in Decision Settings: Theories and Implications for Design. HAI 2024: 472-474 - [c3]Caterina Fregosi, Federico Cabitza:
A Frictional Design Approach: Towards Judicial AI and its Possible Applications. HHAI Workshops 2024: 23-28 - [c2]Chiara Natali, Luca Marconi, Caterina Fregosi, Federico Cabitza:
Humans in the Group, Computers in the Coop. Comparison of Individual and Collective Improvement in Cognitive Tasks in Adjunct AI Settings. HWID 2024: 174-191 - [c1]Federico Cabitza, Caterina Fregosi, Andrea Campagner, Chiara Natali:
Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making. xAI (4) 2024: 255-269
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