Internality and externality as correlates of involvement in fatal driving accidents.

Montag, Itzhak; Comrey, Andrew L.

doi:10.1037/0021-9010.72.3.339

Cited by 132 publications

(68 citation statements)

References 24 publications

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“…This might be explained by the insignificant correlation found between the two internality-externality scales, whereas Montag and Comrey (1987) found a negative one, r= -.18. It is also possible that it came from the scale's adaptation in French.…”

Section: Discussioncontrasting

confidence: 39%

“…It might be easier for external drivers to trust automated driving system, considering they rely less on their own driving skills than internals (Rudin-Brown & Noy, 2002). In order to measure driving locus of control, Montag and Comrey (1987) developed a driving internality-externality scale, with two independent (not bipolar) dimensions.…”

Section: Behavioral Adaptation Personality Traits and New Driving Tementioning

confidence: 99%

See 1 more Smart Citation

Intention to use a fully automated car: Attitudes and a priori acceptability

Payre

Cestac²,

Delhomme³

2014

Transportation Research Part F: Traffic Psychology and Behaviou

547

277

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If previous research studied acceptability of partially or highly automated driving, few of them focused on fully automated driving (FAD), including the ability to master longitudinal control, lateral control and maneuvers. The present study analyzes a priori acceptability, attitudes, personality traits and intention to use a fully automated vehicle.421 French drivers (153 males, M= 40.2 years, age range 19-73) answered an online questionnaire.68.1% of the sample a priori accepted FAD. Predictors of intention to use a fully automated car (R²= .671) were mainly attitudes, contextual acceptability and interest in impaired driving (i.e. the two components of FAD acceptability), followed by driving related sensation seeking, finally gender.FAD preferred use cases were on highways, in traffic congestion and for automatic parking.Furthermore, some drivers reported interest in impaired driving misuses, despite awareness of their responsibility for both the vehicle and the driving. These results are discussed regarding previous knowledge about acceptability of advanced driving assistance systems and consequences for the use of fully automated cars.

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Section: Discussioncontrasting

confidence: 39%

Section: Behavioral Adaptation Personality Traits and New Driving Tementioning

confidence: 99%

Intention to use a fully automated car: Attitudes and a priori acceptability

Payre

Cestac²,

Delhomme³

2014

Transportation Research Part F: Traffic Psychology and Behaviou

547

277

View full text Add to dashboard Cite

show abstract

“…Assim, esses motoristas são mais propensos a usar o cinto de segurança regularmente (Hoyt, 1973) e a utilizar medidas de precaução, como por exemplo, aplicar os freios mais rapidamente ao perceber um peri-go na pista de condução (Lajunen & Summala, 1995). No entanto, os motoristas que acreditam que os resultados são controlados por forças externas podem ser mais resistentes para mudar os seus comportamentos (Huang & Ford, 2012), sendo que esse tipo de lócus aparece associado ao envolvimento em acidentes de trânsito fatais (Montag & Comrey, 1987), bem como à falta de cuidado e de precauções para evitar a ocorrên-cia de desfechos desfavoráveis (Özkan, Lajunen, Doğruyol, Zümrüt, & Çoymak, 2011 O primeiro estilo foi nomeado como dissociativo e sugere uma tendência do motorista a ficar facilmente distraído durante a condução, podendo, com isso, cometer erros. Para o ansioso, as pessoas tendem a se sentirem desconfortáveis durante a condução, podendo expressar dúvidas e falta de confi ança sobre suas habilidades na direção.…”

Section: Evaluación Del Comportamiento Del Conductor Locus De Controunclassified

“…Da mesma forma, os motoristas podem apresentar maior difi culdades para se precaverem de desfechos desfavoráveis na direção (Özkan et al, 2011), além de apresentarem maiores chances de se envolverem em acidentes fatais (Montag & Comrey, 1987). No entanto, vale a ressalva de que os motoristas com estilos agresssivo, negligente e senso-emocional da amostra estudada na presente pesquisa, também atribuem os acidentes a fatores internos, ou seja, admitem que os seus comportamentos também possam ocasionar acidentes de trânsito.…”

Section: Avaliação Do Comportamento Do Motorista Lócus De Controle Eunclassified

Avaliação do comportamento do motorista, lócus de controle e estilos de direção no trânsito

Mognon¹,

Santos²

2017

Temas Psicol.

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ResumoEste estudo teve como objetivo analisar o comportamento do condutor, o lócus de controle no trânsito e os estilos de condução. Participaram 326 motoristas, com idades entre 19 a 75 anos (M = 38,27; DP = 11,54), sendo 55,5% do sexo feminino e tempo de habilitação de 1 a 49 anos (M = 15,69; DP = 10,80). Os instrumentos utilizados foram o Questionário de Comportamento do Condutor (QCM), a Escala de Lócus de Controle para o trânsito (T-LOC-BR) e a Escala Multidimensional dos Estilos de direção (MSDI). Os resultados indicaram que os erros, lapsos e violações do condutor se mostraram positivamente correlacionados com a atribuição da ocorrência de acidentes a motivos internos e ao acaso, bem como aos estilos de condução agressivo e negligente. As análises dos escores dos três instrumentos revelaram, ainda, diferenças signifi cativas relativas às variáveis sociodemográfi cas. Acredita-se que os achados deste trabalho contribuem para a ampliação do conhecimento sobre o comportamento do condutor, contudo há a necessidade da realização de novos estudos. Palavras-chave: Psicologia do trânsito, comportamentos de risco, infrações. Driver's Behavior Assessment, Locus of Control and Driving Styles in Traffi c AbstractThis study aimed to analyze driver's behavior, the locus of control in traffi c and driving styles. Three hundred and twenty six drivers participated in the present study, aged 19-75 years (M = 38.27; SD = 11.54), 55.5% being female and with years of driving between 1 and 49 (M = 15.69; SD = 10.80). The instruments used were the Driver Behavior Questionnaire (QCM), the Traffi c Locus of Control (T-LOC--BR) and the Multidimensional Driving Styles Inventory (MSDI). Results indicated that errors, lapses and drivers' violations were positively correlated with causal attributions of accidents to internal reasons and chance, as well as with aggressive and careless driving styles. The analysis of scores obtained from the three instruments also revealed signifi cant differences with regard to sociodemographic variables. We believe these fi ndings contribute to a better understanding of drivers' behavior, however, further studies are needed.

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“…Average In addition, participants will be asked to fill out a questionnaire for the NASA-TLX scale [28], the Driving Internality Externality Scales [29] and the Sensation Seeking Scale [30]; the last two because drivers who tend to relinquish control to the technical system (experience external locus of control) and/or are liable to sensation seeking seem to be especially prone to negative behavioral adaptation [6].…”

Section: A the Ldws Used In The Simulator Studymentioning

confidence: 99%

Dynamically deployed support as a potential solution to negative behavioral adaptation

Kovordanyi

Ohlsson²,

Alm³

2005

IEEE Proceedings. Intelligent Vehicles Symposium, 2005.

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Abstract-Advanced driver assistance systems are designed to make driving easier that is, to alleviate the driver's workload, and to increase traffic safety. However, traffic safety is affected by negative behavioral adaptation, meaning that drivers tend to increase speed and pay less attention to driving when supported by an advanced assistance system. We relate behavioral adaptation to reinforcement learning at a subconscious level, and propose that driver assistance is dynamically varied within predetermined safety limits. The aim of employing a dynamic assistance policy is to prevent the driver from noticing a constant improvement in vehicle handling. We conclude by describing ongoing work for empirically evaluating an improved lane departure warning system that uses a dynamic assistance policy.Index Terms-advanced driver assistance systems, lane departure warning systems, lane keeping assistance systems, negative behavioral adaptation, reinforcement learning, dynamic assistance policy I. INTRODUCTION he evolution of a new generation of advanced driver assistance systems is to a large extent propelled by advances in sensor technology, steadily increasing computing power and fast algorithms for analyzing in real-time multiple sources of sensor data [1]- [3]. Whereas much emphasis is put on the safety and reliability of the technical system, there is little concern of the human driver. However, the driver is of central importance for traffic safety. Empirical studies indicate that drivers have a tendency to adapt their driving style and misuse the increased safety margins created by advanced driver assistance systems, a phenomenon called negative behavioral adaptation [4]-[7]. Drivers may, for example, increase the driving speed and pay less attention to the driving task, to such an extent that the safety margins created by the driver assistance system are cancelled out [8], [9]. While this problem is widely acknowledged, to date no technically- based, engineering solutions have been proposed that could mitigate the adverse safety effects of negative behavioral adaptation.

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Internality and externality as correlates of involvement in fatal driving accidents.

Cited by 132 publications

References 24 publications

Intention to use a fully automated car: Attitudes and a priori acceptability

Intention to use a fully automated car: Attitudes and a priori acceptability

Avaliação do comportamento do motorista, lócus de controle e estilos de direção no trânsito

Dynamically deployed support as a potential solution to negative behavioral adaptation

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