HCAug 11, 2020

Economical Visual Attention Test for Elderly Drivers

arXiv:2008.04723v3
AI Analysis

This provides a quick and low-cost aptitude test for elderly drivers in super-aging societies, but it is incremental as it adapts existing visual search methods to a specific domain.

The study tackled the problem of traffic accidents among elderly drivers by proposing a low-cost visual attention test using an oddball-serial visual search task, which detected low performers and showed performance correlated with age.

Traffic accidents involving elderly drivers are an issue in a super-aging society. A quick and low-cost aptitude test is required to reduce the number of traffic accidents. This study proposed an oddball-serial visual search task that assesses the individual's performance by his or her responses to the presence of cued stimuli on the screen. Task difficulty varied by changing the number of simultaneous stimuli; Accordingly, low performers were detected. In addition, performance correlated with age. This implies that individual characteristics related to driving performance that decline with age can be detected by the proposed task. Since the task requires low-cost devices (computer and response button), it is feasible for use as a quick and low-cost aptitude test for elderly drivers.

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