From Raw Gaze to Meaningful Features: Assessment of Visual Behavior in Driving Simulator

Fuente: arXiv
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Auteurs principaux: Stokanović, Smilja, Sodnik, Jaka, Miljković, Nadica
Format: Preprint
Publié: 2025
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author Stokanović, Smilja
Sodnik, Jaka
Miljković, Nadica
author_facet Stokanović, Smilja
Sodnik, Jaka
Miljković, Nadica
contents A novel quantitative analytical approach to investigate eye movement behaviour in a driving simulator during three conditions: Baseline, Ride (simulated drive under normal visibility), and Fog (simulated drive under reduced visibility) is presented. We illustrate the proposed approach in a case study: eye tracking data from 24 participants are analyzed using 31 parameters, organized into three groups: (1) saccade characteristics, (2) Bivariate Contour Ellipse Area (BCEA) related parameters, and (3) blinking features. Across all feature groups, numerous statistically significant differences emerge between Baseline and the simulated drive conditions. Between Ride and Fog, saccade features show minimal changes (one out of 13), whereas BCEA (9 of 13) and blink features (four of 5) exhibit pronounced differences, highlighting the strong impact of reduced visibility on gaze stability and blinking behaviour. In addition to conventional gaze features, such as saccade duration, a new metric, inspired by the Guzik's Index (GI), is introduced through feature engineering to quantify fixation asymmetry along the major axis of the BCEA. The GI results suggest that gaze dispersion remains consistent across visibility conditions, but it is significantly higher during Baseline than during Fog and Ride conditions (p < 0.01). Overall, the presented findings demonstrate that a combination of the BCEA-based features with saccade and blink parameters provides a comprehensive understanding of visual attention and gaze stability in a driving simulator, while GI offers additional insights into fixation asymmetry under varying visibility conditions.
format Preprint
id arxiv_https___arxiv_org_abs_2511_02689
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle From Raw Gaze to Meaningful Features: Assessment of Visual Behavior in Driving Simulator
Stokanović, Smilja
Sodnik, Jaka
Miljković, Nadica
Signal Processing
A novel quantitative analytical approach to investigate eye movement behaviour in a driving simulator during three conditions: Baseline, Ride (simulated drive under normal visibility), and Fog (simulated drive under reduced visibility) is presented. We illustrate the proposed approach in a case study: eye tracking data from 24 participants are analyzed using 31 parameters, organized into three groups: (1) saccade characteristics, (2) Bivariate Contour Ellipse Area (BCEA) related parameters, and (3) blinking features. Across all feature groups, numerous statistically significant differences emerge between Baseline and the simulated drive conditions. Between Ride and Fog, saccade features show minimal changes (one out of 13), whereas BCEA (9 of 13) and blink features (four of 5) exhibit pronounced differences, highlighting the strong impact of reduced visibility on gaze stability and blinking behaviour. In addition to conventional gaze features, such as saccade duration, a new metric, inspired by the Guzik's Index (GI), is introduced through feature engineering to quantify fixation asymmetry along the major axis of the BCEA. The GI results suggest that gaze dispersion remains consistent across visibility conditions, but it is significantly higher during Baseline than during Fog and Ride conditions (p < 0.01). Overall, the presented findings demonstrate that a combination of the BCEA-based features with saccade and blink parameters provides a comprehensive understanding of visual attention and gaze stability in a driving simulator, while GI offers additional insights into fixation asymmetry under varying visibility conditions.
title From Raw Gaze to Meaningful Features: Assessment of Visual Behavior in Driving Simulator
topic Signal Processing
url https://arxiv.org/abs/2511.02689