mlsanityData to 14 Oct 2026

Toward Scalable and Transparent Multimodal Analytics to Study Standard Medical Procedures: Linking Hand Movement, Proximity, and Gaze Data

arXiv 2312.05368 ↗First posted 8 Dec 2023cs.AI cs.CY cs.HCcited by 0

Not on the map. Why?

Abstract (arXiv)

This study employed multimodal learning analytics (MMLA) to analyze behavioral dynamics during the ABCDE procedure in nursing education, focusing on gaze entropy, hand movement velocities, and proximity measures. Utilizing accelerometers and eye-tracking techniques, behaviorgrams were generated to depict various procedural phases. Results identified four primary phases characterized by distinct patterns of visual attention, hand movements, and proximity to the patient or instruments. The findings suggest that MMLA can offer valuable insights into procedural competence in medical education. This research underscores the potential of MMLA to provide detailed, objective evaluations of clinical procedures and their inherent complexities.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 53 references that are in the map. First posted on arXiv 8 Dec 2023.

Builds on

2 of 53 references.

References · 2

  1. 2023Lessons Learnt from a Multimodal Learning Analytics Deployment In-the-wildcited by 5
  2. 2018Predicting Webpage Aesthetics with Heatmap Entropycited by 1

Built on by

Not cited yet.