{"title":"在高密度交通中,无意识的走神比有意的走神更能预测驾驶表现","authors":"Heather E.K. Walker, Lana M. Trick","doi":"10.1016/j.trf.2025.103341","DOIUrl":null,"url":null,"abstract":"<div><div>Mind-wandering occurs when attention is diverted from a primary task by off-task thoughts. When the primary task is driving, mind-wandering can interfere with driving performance. Some theories consider mind-wandering to be primarily an intentional response to low demand conditions (cognitive underload) while others consider it the result of unintentional attentional lapses. If mind-wandering is primarily intentional, it might be expected to be more prevalent in low demand drives than high. In contrast, if mind-wandering is the result of an unintentional lapse, it might be as likely to occur in low and high demand conditions, and thus more closely related to driver performance than intentional mind-wandering because it occurs more on high demand drives. We used a driving simulator to assess drivers (<em>N =</em> 34), manipulating the amount of traffic to vary the cognitive demands of the drive. We also measured mind-wandering using periodic thought-probes to assess whether or not the drivers were engaged in off-task thought (mind-wandering), and if they were, whether they were doing so intentionally or unintentionally. Overall, there was significantly more mind-wandering on low than high traffic drives, and in particular, more intentional mind-wandering (a marginal effect: <em>p</em> = 0.055). However, reports of intentional mind-wandering were relatively rare. In the low traffic drive, there was 4 times more unintentional than intentional mind-wandering; in the high traffic drive there was 6 times more. Furthermore, unintentional mind-wandering predicted driving performance best, accounting for 14–18 % of the variance in speed variability, steering, and hazard response in the high traffic drive.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103341"},"PeriodicalIF":4.4000,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Driving performance is better predicted by unintentional rather than intentional mind-wandering in high density traffic\",\"authors\":\"Heather E.K. Walker, Lana M. Trick\",\"doi\":\"10.1016/j.trf.2025.103341\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Mind-wandering occurs when attention is diverted from a primary task by off-task thoughts. When the primary task is driving, mind-wandering can interfere with driving performance. Some theories consider mind-wandering to be primarily an intentional response to low demand conditions (cognitive underload) while others consider it the result of unintentional attentional lapses. If mind-wandering is primarily intentional, it might be expected to be more prevalent in low demand drives than high. In contrast, if mind-wandering is the result of an unintentional lapse, it might be as likely to occur in low and high demand conditions, and thus more closely related to driver performance than intentional mind-wandering because it occurs more on high demand drives. We used a driving simulator to assess drivers (<em>N =</em> 34), manipulating the amount of traffic to vary the cognitive demands of the drive. We also measured mind-wandering using periodic thought-probes to assess whether or not the drivers were engaged in off-task thought (mind-wandering), and if they were, whether they were doing so intentionally or unintentionally. Overall, there was significantly more mind-wandering on low than high traffic drives, and in particular, more intentional mind-wandering (a marginal effect: <em>p</em> = 0.055). However, reports of intentional mind-wandering were relatively rare. In the low traffic drive, there was 4 times more unintentional than intentional mind-wandering; in the high traffic drive there was 6 times more. Furthermore, unintentional mind-wandering predicted driving performance best, accounting for 14–18 % of the variance in speed variability, steering, and hazard response in the high traffic drive.</div></div>\",\"PeriodicalId\":48355,\"journal\":{\"name\":\"Transportation Research Part F-Traffic Psychology and Behaviour\",\"volume\":\"115 \",\"pages\":\"Article 103341\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Part F-Traffic Psychology and Behaviour\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1369847825002967\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part F-Traffic Psychology and Behaviour","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1369847825002967","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, APPLIED","Score":null,"Total":0}
Driving performance is better predicted by unintentional rather than intentional mind-wandering in high density traffic
Mind-wandering occurs when attention is diverted from a primary task by off-task thoughts. When the primary task is driving, mind-wandering can interfere with driving performance. Some theories consider mind-wandering to be primarily an intentional response to low demand conditions (cognitive underload) while others consider it the result of unintentional attentional lapses. If mind-wandering is primarily intentional, it might be expected to be more prevalent in low demand drives than high. In contrast, if mind-wandering is the result of an unintentional lapse, it might be as likely to occur in low and high demand conditions, and thus more closely related to driver performance than intentional mind-wandering because it occurs more on high demand drives. We used a driving simulator to assess drivers (N = 34), manipulating the amount of traffic to vary the cognitive demands of the drive. We also measured mind-wandering using periodic thought-probes to assess whether or not the drivers were engaged in off-task thought (mind-wandering), and if they were, whether they were doing so intentionally or unintentionally. Overall, there was significantly more mind-wandering on low than high traffic drives, and in particular, more intentional mind-wandering (a marginal effect: p = 0.055). However, reports of intentional mind-wandering were relatively rare. In the low traffic drive, there was 4 times more unintentional than intentional mind-wandering; in the high traffic drive there was 6 times more. Furthermore, unintentional mind-wandering predicted driving performance best, accounting for 14–18 % of the variance in speed variability, steering, and hazard response in the high traffic drive.
期刊介绍:
Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.