高齢者の運転中の「注意力」モニターを支援する新ツールを開発(New Tool Helps Older Adults Monitor ‘Attentional Performance’ During Driving)

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2022-06-01 ノースカロライナ州立大学(NCState)

an older man drives a car in heavy trafficPhoto credit: Dan Gold.

ノースカロライナ州立大学とテキサス工科大学の研究者らは、高齢者が運転中の「注意力」を評価するためのわかりやすい質問票を開発しました。研究者らは、概念実証試験において、このツールによって、どのドライバーが事故を起こすリスクが高いかを予測できることを実証しました。

<関連情報>

高齢運転者の事故リスク予測に向けた運転中の注意力低下の自己申告の発生・頻度を区別する2つのアプローチ A Two-Part Approach Distinguishing the Occurrence and Frequency of Self-Reported Attentional Failures during Driving to Predict Crash Risks Among Older Drivers

Hee Sun Choi,  Jing Feng, Daniel Grühn
The Journals of Gerontology:Series B  Published:21 May 2022
DOI:https://doi.org/10.1093/geronb/gbac077

Abstract

Objectives
With advancing age, older drivers experience greater fatal crash risks due to age-related declines in cognitive and physical capabilities. Being informed of the age-related increased risks could help older drivers form compensatory strategies and determine when to seek further help to stay on the road safely for longer. Using a self-report assessment tool, the Attentional Failure during Driving Questionnaire (AFDQ), we examined older drivers’ experience of various attentional failures during daily driving and how the measures could predict their crash risks.

Methods
We used a new methodological approach distinguishing the occurrences of attentional failures during driving and the frequency of those occurrences. The individuals’ AFDQ occurrence and frequency scores were compared with prior driving outcomes and simulated driving performance.

Results
Unlike middle-aged drivers, frequency rather than occurrence of attentional failures was a significant predictor of prior traffic violations and crashes among older drivers. Also, attentional failures, but not chronological age, predicted older drivers’ crash risks. AFDQ frequency was also associated with older drivers’ poorer performance in simulated driving.

Discussion
The findings suggest that the self-report assessment for attention-related driving failures can predict older drivers’ crash risks. Furthermore, the two-part approach of AFDQ provides an opportunity to do a more comprehensive investigation of the associations between attentional declines and crash risks among older drivers.

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