A Review of Driver Gaze Estimation and Application in Gaze Behavior Understanding
URL: http://arxiv.org/abs/2307.01470v2
archive: archived pipeline: cataloged verified
Abstract
Driver gaze plays an important role in different gaze-based applications such as driver attentiveness detection, visual distraction detection, gaze behavior understanding, and building driver assistance system. The main objective of this study is to perform a comprehensive summary of driver gaze fundamentals, methods to estimate driver gaze, and it's applications in real world driving scenarios. We first discuss the fundamentals related to driver gaze, involving head-mounted and remote setup bas
Summary
HFES conference proceedings report (Aspire Conference) documenting N-back temporal instability findings. Two-experiment study showing N-back performance improvement and workload decrease over 26+ on-road driving sessions. Experiment 1: 10 participants with 26+ exposures show systematic accuracy increases and cognitive demand decreases. Experiment 2: Old vs New digit sequences tested with 20 participants; equivalent performance confirms strategy-based improvement.
Key finding
N-back accuracy and DRT-based workload measures show systematic drift over repeated on-road sessions, with improvements attributable to general strategy acquisition (subvocal rehearsal, automatization) rather than sequence-specific learning.
Methodology
Exp 1: 10 participants, repeated measures across 6 sessions from 26 total. Exp 2: 20 participants, Old/New sequence comparison. On-road driving paradigm with DRT and NASA-TLX measures.
Sample size: Exp 1: N=10; Exp 2: N=20
Quality score: 5 / 5