A Pilot Study on Impact of Mood State on Emergency Response Capacity for Young Novice Drivers
As young novice drivers are inclined to getting involved in traffic accidents due to their improper emergency response under sorts of gender affective state, namely, mood, widely generated in fast-paced urban life, it is of great necessary to study the impact of mood state on responsive capacity for...
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Format: | Article |
Language: | English |
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Wiley
2022-01-01
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Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2022/1411519 |
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author | Ping Wan Xiaowei Jing Youcai Ma Shan Lu Xiaofeng Ma Liqun Peng |
author_facet | Ping Wan Xiaowei Jing Youcai Ma Shan Lu Xiaofeng Ma Liqun Peng |
author_sort | Ping Wan |
collection | DOAJ |
description | As young novice drivers are inclined to getting involved in traffic accidents due to their improper emergency response under sorts of gender affective state, namely, mood, widely generated in fast-paced urban life, it is of great necessary to study the impact of mood state on responsive capacity for young novice drivers. Fourteen college students were recruited to take part in complex reaction experiments for this pilot study. Each subject’s mood was collected through a simplified POMS scale, while their complex reaction time (CRT) and response error rate (RER) were acquired during the experiments. The study results showed that young novice drivers’ RER was significantly positively correlated (pc=0.323∗∗, “pc” omitted next) with their score of total mood disturbance (TMD), and a logarithmic regression model was feasible to describe the correlations with a good fitting effect. Further, their RER was also significantly positively correlated with score of negative mood state components such as nervousness (0.290∗∗), anger (0.300∗∗), fatigue (0.278∗∗), depression (0.287∗∗), and fluster (0.261∗), and a quadratic or cubic regression model was suitable to describe the correlations. Additionally, the young novice drivers’ CRT was significantly positively correlated with score of nervousness (0.222∗∗), vigorousness (0.227∗), and fluster (0.273∗), and a quadratic or exponential regression model was suitable to describe the correlations. The results can provide theoretical support for developing targeted intervention to improve young novice drivers’ emergency response capacity for driving training or traffic management authorities. |
format | Article |
id | doaj-art-ff08a645d18d41ea9e0fd16db76f62bc |
institution | Kabale University |
issn | 2042-3195 |
language | English |
publishDate | 2022-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Advanced Transportation |
spelling | doaj-art-ff08a645d18d41ea9e0fd16db76f62bc2025-02-03T06:08:40ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/1411519A Pilot Study on Impact of Mood State on Emergency Response Capacity for Young Novice DriversPing Wan0Xiaowei Jing1Youcai Ma2Shan Lu3Xiaofeng Ma4Liqun Peng5School of Transportation EngineeringSchool of Transportation EngineeringSchool of Transportation EngineeringInstitute of Intelligence Science and EngineeringIntelligent Transport Systems Research CenterSchool of Transportation EngineeringAs young novice drivers are inclined to getting involved in traffic accidents due to their improper emergency response under sorts of gender affective state, namely, mood, widely generated in fast-paced urban life, it is of great necessary to study the impact of mood state on responsive capacity for young novice drivers. Fourteen college students were recruited to take part in complex reaction experiments for this pilot study. Each subject’s mood was collected through a simplified POMS scale, while their complex reaction time (CRT) and response error rate (RER) were acquired during the experiments. The study results showed that young novice drivers’ RER was significantly positively correlated (pc=0.323∗∗, “pc” omitted next) with their score of total mood disturbance (TMD), and a logarithmic regression model was feasible to describe the correlations with a good fitting effect. Further, their RER was also significantly positively correlated with score of negative mood state components such as nervousness (0.290∗∗), anger (0.300∗∗), fatigue (0.278∗∗), depression (0.287∗∗), and fluster (0.261∗), and a quadratic or cubic regression model was suitable to describe the correlations. Additionally, the young novice drivers’ CRT was significantly positively correlated with score of nervousness (0.222∗∗), vigorousness (0.227∗), and fluster (0.273∗), and a quadratic or exponential regression model was suitable to describe the correlations. The results can provide theoretical support for developing targeted intervention to improve young novice drivers’ emergency response capacity for driving training or traffic management authorities.http://dx.doi.org/10.1155/2022/1411519 |
spellingShingle | Ping Wan Xiaowei Jing Youcai Ma Shan Lu Xiaofeng Ma Liqun Peng A Pilot Study on Impact of Mood State on Emergency Response Capacity for Young Novice Drivers Journal of Advanced Transportation |
title | A Pilot Study on Impact of Mood State on Emergency Response Capacity for Young Novice Drivers |
title_full | A Pilot Study on Impact of Mood State on Emergency Response Capacity for Young Novice Drivers |
title_fullStr | A Pilot Study on Impact of Mood State on Emergency Response Capacity for Young Novice Drivers |
title_full_unstemmed | A Pilot Study on Impact of Mood State on Emergency Response Capacity for Young Novice Drivers |
title_short | A Pilot Study on Impact of Mood State on Emergency Response Capacity for Young Novice Drivers |
title_sort | pilot study on impact of mood state on emergency response capacity for young novice drivers |
url | http://dx.doi.org/10.1155/2022/1411519 |
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