Single-Modality vs Multi-Modality

Several <em>datasets</em> 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 <em>usability</em> (SUS), <em>workload</em> (NASA-TLX), <em>time</em> and <em>rates</em> (BIRADS) results of clinicians from our User Tests and Analysis 4 (UTA4) study. We also provide the <em>medical imaging DICOM files</em>. 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 <em>datasets</em> and respective repositories. Please follow this last information. The present data is a mirror of the <code>uta4-sm-vs-mm-sheets-nameless</code> repository. Work and results are published on a top Human-Computer Interaction (HCI) conference named AVI 2020 (page).