Webpage for our paper "Navigating the Kinematic Maze: Analyzing, Standardizing and Unifying XR Motion Datasets"
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Updated
May 19, 2024 - CSS
Webpage for our paper "Navigating the Kinematic Maze: Analyzing, Standardizing and Unifying XR Motion Datasets"
[IJHCS] UTA7: a dataset of clinicians' demographic results from our user studies.
[IJHCS] UTA7: a clinical dataset with medical imaging and patient co-variables.
[IJHCS] UTA7: a dataset with assistant information such as messages and outputs.
📊 [CHI 2023] UTA11: Rates (BIRADS) dataset.
[IJHCS] UTA7: a dataset from the results of the affinity diagrams extracted from our focus groups.
Dataset proposed in "SLNSpeech: solving extended speech separation problem by the help of sign language"
⭐ Repository Template for Datasets
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[IJHCS] UTA7: a dataset of heatmaps and images resulted from computing the given abnormalities which were manually delineated by clinicians while annotating the breast cancer lesions.
[IJHCS] UTA7: a dataset of manual annotations provided by radiologists in medical imaging for breast cancer diagnosis. The work was published in the International Journal of Human-Computer Studies.
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📊 [CHI 2023] UTA11: a medical imaging dataset of patients with DICOM files provided by radiologists.
[AVI 2020] UTA4: Severity (BIRADS) & Pathology Classifications dataset. The work was presented in the Advanced Visual Interfaces conference.
[IJHCS] UTA7: a dataset of time-on-task during our user studies extracted from clinicians while interacting with our assistant across the breast cancer diagnosis.
[IJHCS] UTA7: a dataset of clinicians' results of the System Usability Scale (SUS) answers from our user studies.
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