TY - JOUR
T1 - Author Correction
T2 - Factors determining speed management during distracted driving (WhatsApp messaging) (Scientific Reports, (2020), 10, 1, (13263), 10.1038/s41598-020-70288-4)
AU - Ortiz-Peregrina, Sonia
AU - Oviedo-Trespalacios, Oscar
AU - Ortiz, Carolina
AU - Casares-Lopez, Miriam
AU - Salas, Carlos
AU - Anera, Rosario G.
PY - 2020
Y1 - 2020
N2 - The objective of this work was to investigate self-regulation behaviours, particularly speed management, under distracted conditions due to WhatsApp use. We also studied the influence of different environments and driver characteristics, introducing visual status as one of them. Seventy-five drivers were evaluated in a simulator study involving two test sessions under baseline and texting conditions. A cluster analysis was used to identify two groups with different visual capacity .Lastly, possible predictors of speed management were studied developing a generalised linear mixed model. Our results show that drivers reduced their speeds in the presence of more demanding driving conditions; while replying to a WhatsApp message, on curved road segments and when arked cars are present. Driving speed also correlated with driver characteristics such as age or dual task experience and human factors such as self-perceived risk. Finally, although there were significant differences in visual capacity between the two groups identified, the model did not identify visual capacity membership as a significant predictor of speed management. This study could provide a better understanding of the mechanisms drivers use when WhatsApp messaging and which environments and driver conditions influence how speed is managed.
AB - The objective of this work was to investigate self-regulation behaviours, particularly speed management, under distracted conditions due to WhatsApp use. We also studied the influence of different environments and driver characteristics, introducing visual status as one of them. Seventy-five drivers were evaluated in a simulator study involving two test sessions under baseline and texting conditions. A cluster analysis was used to identify two groups with different visual capacity .Lastly, possible predictors of speed management were studied developing a generalised linear mixed model. Our results show that drivers reduced their speeds in the presence of more demanding driving conditions; while replying to a WhatsApp message, on curved road segments and when arked cars are present. Driving speed also correlated with driver characteristics such as age or dual task experience and human factors such as self-perceived risk. Finally, although there were significant differences in visual capacity between the two groups identified, the model did not identify visual capacity membership as a significant predictor of speed management. This study could provide a better understanding of the mechanisms drivers use when WhatsApp messaging and which environments and driver conditions influence how speed is managed.
UR - http://www.scopus.com/inward/record.url?scp=85098533216&partnerID=8YFLogxK
U2 - 10.1038/s41598-020-79428-2
DO - 10.1038/s41598-020-79428-2
M3 - Comment/Letter to the editor
C2 - 33323940
AN - SCOPUS:85098533216
SN - 2045-2322
VL - 10
JO - Scientific Reports
JF - Scientific Reports
IS - 1
M1 - 22358
ER -