2024
Trust Junk and Evil Knobs: Calibrating Trust in AI Visualization.
Wall, E., Matzen, L., El-Assady, M., Masters, P., Hosseinpour, H., Endert, A., Borgo, R., Chau, P., Perer, A., Schupp, H., Strobelt, H., & Padilla, L.
IEEE 17th Pacific Visualization Conference (PacificVis) (pp. 22-31), 2024. PDF
Examining Limits of Small Multiples: Frame Quantity Impacts Judgments with Line Graphs.
Hosseinpour, H., Matzen, L. E., Divis, K. M., Castro, S. C., & Padilla, L.
IEEE Transactions on Visualization and Computer Graphics, 2024.
2022
Impact of COVID-19 forecast visualizations on pandemic risk perceptions.
Padilla, L., Hosseinpour, H., Fygenson, R., Howell, J., Chunara, R., & Bertini, E.
Nature's Scientific Reports, 2022.
2021
Examining Effort in 1D Uncertainty Communication Using Individual Differences in Working Memory and NASA-TLX.
Castro, S., Hossienpour, H., Quinan, S.P., Padilla, L.
IEEE Transactions on Visualization and Computer Graphics, 2021.
Multiple Hazard Uncertainty Visualization Challenges and Paths Forward.
Padilla, L.., Dryhurst, S., Hosseinpour, H., & Kruczkiewicz, A.
Frontiers in Psychology, 2021. PDF
A review of uncertainty visualization errors: Working memory as an explanatory theory.
Padilla, L.., Castro, S. C., & Hosseinpour, H.
The Psychology of Learning and Motivation, 2021. PDF