STAF 2023
Tue 18 - Fri 21 July 2023 Leicester, United Kingdom
Fri 21 Jul 2023 13:52 - 14:15 at Willow - HEDA Session 2 Chair(s): Yngve Lamo

Eye-tracking technologies offer a valuable means of collecting data on gaze movements, which can be utilized to assess functional vision problems. However, analyzing gaze data and presenting trustworthy interpretations is a challenge today. The analysis depends on the eye-tracking technologies, available software for vision screening, gaze metrics, and stimuli data. This paper presents a novel framework for visualizing and analyzing data obtained from different eye trackers and vision screening software ordered in a pipeline. This framework is flexible and can be scaled up and extended with gaze metrics and data-cleaning mechanisms to facilitate vision experts and researchers in further optimizations. It illustrates through a description of the pipeline the necessary steps toward producing comprehensive results on gaze metrics and a range of visualizations, such as heatmaps, scan paths, and fixation points, through a graphical interface, making data analysis and interpretation more efficient and user-friendly.

Fri 21 Jul

Displayed time zone: London change

13:30 - 15:00
HEDA Session 2HEDA at Willow
Chair(s): Yngve Lamo Western Norway University of Applied Sciences

Remote Participants: Zoom Link

13:30
22m
Talk
Clinical data modeling combining agent-based and epidemiological models
HEDA
P: Denisse Kim University of Murcia, Manuel Campos , Bernardo Canovas-Segura University of Murcia, Jose M. Juarez University of Murcia
Link to publication
13:52
22m
Talk
Towards a Framework for Visualization and Analysis of Eye Tracking Data for Functional Vision Screening
HEDA
P: qasim ali , Carsten G. Helgesen Western Norway University of Applied Sciences, Ilona Heldal Western Norway University of Applied Sciences
Link to publication
14:15
22m
Talk
Analyzing Eye Tracking Data using Symbolic Aggregate Approximation
HEDA
P: Carsten G. Helgesen Western Norway University of Applied Sciences, Atle Geitung Western Norway University of Applied Sciences, Ilona Heldal Western Norway University of Applied Sciences
Link to publication
14:37
22m
Talk
Automatic Inference of Smart Data Discovery Interfaces for Rare Disease Datasets
HEDA
P: Artur Boronat University of Leicester, Adekunle Adeyemo , Mehdi Mehtarizadeh King’s College London, Steffen Zschaler King's College London
Link to publication