eXplainMR: Generating Real-time Textual and Visual eXplanations to Facilitate UltraSonography Learning in MR
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866909513949380608 |
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| author | Wang, Jingying Zhang, Jingjing Capizzano, Juana Nicoll Sigakis, Matthew Wang, Xu Popov, Vitaliy |
| author_facet | Wang, Jingying Zhang, Jingjing Capizzano, Juana Nicoll Sigakis, Matthew Wang, Xu Popov, Vitaliy |
| contents | eXplainMR is a Mixed Reality tutoring system designed for basic cardiac surface ultrasound training. Trainees wear a head-mounted display (HMD) and hold a controller, mimicking a real ultrasound probe, while treating a desk surface as the patient's body for low-cost and anywhere training. eXplainMR engages trainees with troubleshooting questions and provides automated feedback through four key mechanisms: 1) subgoals that break down tasks into single-movement steps, 2) textual explanations comparing the current incorrect view with the target view, 3) real-time segmentation and annotation of ultrasound images for direct visualization, and 4) the 3D visual cues provide further explanations on the intersection between the slicing plane and anatomies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_18640 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | eXplainMR: Generating Real-time Textual and Visual eXplanations to Facilitate UltraSonography Learning in MR Wang, Jingying Zhang, Jingjing Capizzano, Juana Nicoll Sigakis, Matthew Wang, Xu Popov, Vitaliy Human-Computer Interaction eXplainMR is a Mixed Reality tutoring system designed for basic cardiac surface ultrasound training. Trainees wear a head-mounted display (HMD) and hold a controller, mimicking a real ultrasound probe, while treating a desk surface as the patient's body for low-cost and anywhere training. eXplainMR engages trainees with troubleshooting questions and provides automated feedback through four key mechanisms: 1) subgoals that break down tasks into single-movement steps, 2) textual explanations comparing the current incorrect view with the target view, 3) real-time segmentation and annotation of ultrasound images for direct visualization, and 4) the 3D visual cues provide further explanations on the intersection between the slicing plane and anatomies. |
| title | eXplainMR: Generating Real-time Textual and Visual eXplanations to Facilitate UltraSonography Learning in MR |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2502.18640 |