NATALI CHIARA

Cabitza, F., Fregosi, C., Campagner, A., Natali, C. (2024). Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making. In Explainable Artificial Intelligence
Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part IV (pp.255-269). Springer Cham [10.1007/978-3-031-63803-9_14]. Detail

Cabitza, F., Natali, C., Famiglini, L., Campagner, A., Caccavella, V., Gallazzi, E. (2024). Never tell me the odds: Investigating pro-hoc explanations in medical decision making. ARTIFICIAL INTELLIGENCE IN MEDICINE, 150(April 2024), 1-11 [10.1016/j.artmed.2024.102819]. Detail

Anichini, G., Natali, C., Cabitza, F. (2024). Invisible to Machines: Designing AI that Supports Vision Work in Radiology. COMPUTER SUPPORTED COOPERATIVE WORK, 33(4), 993-1036 [10.1007/s10606-024-09491-0]. Detail

Milella, F., Natali, C., Scantamburlo, T., Campagner, A., Cabitza, F. (2023). The Impact of Gender and Personality in Human-AI Teaming: The Case of Collaborative Question Answering. In Human-Computer Interaction – INTERACT 2023
19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Proceedings, Part II (pp.329-349). Springer Cham [10.1007/978-3-031-42283-6_19]. Detail

Natali, C., Famiglini, L., Campagner, A., La Maida, G., Gallazzi, E., Cabitza, F. (2023). Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making. In Explainable Artificial Intelligence
First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part I (pp.618-629). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-44064-9_33]. Detail