@inproceedings{286f365ac565431db364b34d3b221b2b,
title = "Visualising Spatio-Temporal Gaze Characteristics for Exploratory Data Analysis in Clinical Fetal Ultrasound Scans",
abstract = "Visualising patterns in clinicians' eye movements while interpreting fetal ultrasound imaging videos is challenging. Across and within videos, there are differences in size and position of Areas-of-Interest (AOIs) due to fetal position, movement and sonographer skill. Currently, AOIs are manually labelled or identified using eye-tracker manufacturer specifications which are not study specific. We propose using unsupervised clustering to identify meaningful AOIs and bi-contour plots to visualise spatio-temporal gaze characteristics. We use Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) to identify the AOIs, and use their corresponding images to capture granular changes within each AOI. Then we visualise transitions within and between AOIs as read by the sonographer. We compare our method to a standardised eye-tracking manufacturer algorithm. Our method captures granular changes in gaze characteristics which are otherwise not shown. Our method is suitable for exploratory data analysis of eye-tracking data involving multiple participants and AOIs.",
keywords = "data visualisation, eye-tracking, fetal ultrasound video, spatio-temporal characteristics",
author = "Clare Teng and Harshita Sharma and Lior Drukker and Papageorghiou, \{Aris T.\} and Noble, \{J. Alison\}",
note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 2022 ACM Symposium on Eye Tracking Research and Applications, ETRA 2022 ; Conference date: 08-06-2022 Through 11-06-2022",
year = "2022",
month = jun,
day = "8",
doi = "10.1145/3517031.3529635",
language = "אנגלית",
series = "Eye Tracking Research and Applications Symposium (ETRA)",
publisher = "Association for Computing Machinery",
editor = "Spencer, \{Stephen N.\}",
booktitle = "Proceedings - ETRA 2022",
address = "ארצות הברית",
}