Distractive Tasks and the Influence of Driver Attributes

• Tipo: Artigo em Revista Científica Internacional
• Data: 2021

Autores

Sónia Soares (Autor) FEUP; Carlos Campos (Autor) Outra; João Miguel Leitão (Autor) Outra; António Lobo (Autor) FEUP; António Couto (Autor) FEUP; Sara Ferreira (Autor) FEUP

Revista

Título: Sustainability

Vol. 13

Páginas: 1-5094

ISSN: 2071-1050

Editora: MDPI

Indexação

ISI Web of Knowledge - 5 Citações

ISI Web of Science

Scopus - 5 Citações

Classificação Científica

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia civil ; Ciências Sociais > Ciências psicológicas > Psicologia

FOS: Ciências da engenharia e tecnologias > Engenharia civil ; Ciências sociais > Psicologia

Projetos Associados

AUTODRIVING - Autodriving - Modelação do comportamento do condutor em contexto de veículo autónomo com recurso ao simulador de condução

Outras Informações

ID Authenticus: P-00T-VSA

DOI: 10.3390/su13095094

Abstract (EN): Driver distraction is a major problem nowadays, contributing to many deaths, injuries, and economic losses. Despite the effort that has been made to minimize these impacts, considering the technological evolution, distraction at the wheel has tended to increase. Not only tech-related tasks but every task that captures a driver's attention has impacts on road safety. Moreover, driver behavior and characteristics are known to be heterogeneous, leading to a distinct driving performance, which is a challenge in the road safety perspective. This study aimed to capture the effects of drivers' personal aspects and habits on their distraction behavior. Following a within-subjects approach, a convenience sample of 50 drivers was exposed to three unexpected events reproduced in a driving simulator. Drivers' reactions were evaluated through three distinct models: a Lognormal Model to make analyze the visual distraction, a Binary Logit Model to explore the adopted type of reaction, and a Parametric Survival Model to study the reaction times. The research outcomes revealed that drivers' behavior and perceived workload were distinct when they were engaged in specific secondary tasks and for distinct drivers' personal attributes and habits. Age and type of distraction showed statistical significance regarding the visual behavior. Moreover, reaction times were consistently related to gender, BMI, sleep patterns, speed, habits while driving, and type of distraction. The habit of engaging in secondary tasks while driving resulted in a cumulative better performance.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 20