Unravelling situational awareness of multi-tasking pedestrians through average gaze fixation durations: An accelerated failure time modelling approach.

IF 5.7 1区 工程技术 Q1 ERGONOMICS Accident; analysis and prevention Pub Date : 2025-01-03 DOI:10.1016/j.aap.2024.107912
Kudurupaka Vamshi Krishna, Pushpa Choudhary
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引用次数: 0

Abstract

Pedestrians use visual cues (i.e., gaze) to communicate with the other road users, and visual attention towards the surrounding environment is essential to be situationally aware and avoid oncoming conflicts. However, multi-tasking activities compromise visual attention behaviour. Average Fixation Duration (AFD) was captured in six Areas of Interest (AOI) when engaged in activities like texting, talking, listening to music (LM) and gazing at billboards (GBB) while crossing the road. Quantification of situational awareness is accomplished using Weibull Accelerated Failure Time (AFT) model with AFD as a duration variable. This approach helps to understand ongoing cognitive attention required for the user to process the information conveyed by the AOI. The survival rate obtained from Weibull AFT model is defined as the probability of continuing gaze fixation on an AOI at a given time instance. The study demonstrated thatthe continuation of gaze fixation increased greatly when texting compared to other multi-tasking activities, which was attributed to a decrease in situational awareness. Talking, LM and GBB-involved pedestrians shifted their gaze to another AOI within a maximum of 300 ms, except for vehicle AOI. The LM activity, perceived as less task-intensive and less risky, compensated for their gaze fixation behaviour by spending less time on different AOIs. In addition, billboards near pedestrian crossing locations impact gaze fixation behaviour similar to talking on the phone. The study suggested mitigative policies and strategies to curb distracted walking. Additionally, the aim is to design human-computer interaction-based incident warning systems for real-world situations using augmented reality glasses.

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来源期刊
CiteScore
11.90
自引率
16.90%
发文量
264
审稿时长
48 days
期刊介绍: Accident Analysis & Prevention provides wide coverage of the general areas relating to accidental injury and damage, including the pre-injury and immediate post-injury phases. Published papers deal with medical, legal, economic, educational, behavioral, theoretical or empirical aspects of transportation accidents, as well as with accidents at other sites. Selected topics within the scope of the Journal may include: studies of human, environmental and vehicular factors influencing the occurrence, type and severity of accidents and injury; the design, implementation and evaluation of countermeasures; biomechanics of impact and human tolerance limits to injury; modelling and statistical analysis of accident data; policy, planning and decision-making in safety.
期刊最新文献
A comprehensive multi-objective framework for the estimation of crash frequency models. Spatiotemporal multi-feature fusion vehicle trajectory anomaly detection for intelligent transportation: An improved method combining autoencoders and dynamic Bayesian networks. Unravelling situational awareness of multi-tasking pedestrians through average gaze fixation durations: An accelerated failure time modelling approach. Real-time risk estimation for active road safety: Leveraging Waymo AV sensor data with hierarchical Bayesian extreme value models. Driver's journey from historical traffic violations to future accidents: A China case based on multilayer complex network approach.
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