[AVI 2020] UTA4: Datasets

Several datasets are fostering innovation in higher-level functions for everyone, everywhere. By providing this repository, we hope to encourage the research community to focus on hard problems. In this project, we present usability (SUS), workload (NASA-TLX), time and rates (BIRADS) results of clinicians from our User Tests and Analysis 4 (UTA4) study. We also provide the medical imaging DICOM files. That said, we created UTA4: SUS Dataset, UTA4: NASA-TLX Dataset, UTA4: Time Dataset, UTA4: Rates Dataset and UTA4: Medical Imaging DICOM Files Dataset pages to provide further information regarding these datasets and respective repositories. Please follow this last information. The present data is a mirror of the uta4-sm-vs-mm-sheets-nameless repository. Work and results are published on a top Human-Computer Interaction (HCI) conference named AVI 2020 (page).