Comparative analysis of the effects of mobile phone use on driving performance using ANOVA and ANCOVA

Fancello, Gianfranco; Adamu, Marta; Serra, Patrizia; Fadda, Paolo

doi:10.1049/iet-its.2019.0638

Cited by 5 publications

(3 citation statements)

References 44 publications

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“…The participants, who were recruited with experience of driving and gesture control, are relatively young and may not represent drivers of all ages. Age seems to significantly affect driving behavior (59). The effect of interaction types, visual and auditory, on the performance of older drivers was significant, and the effect of secondary task engagement may vary by interaction types and driver age (60).…”

Section: Discussionmentioning

confidence: 98%

Influences of Gesture-Based Mobile Phone Use While Driving

Niu

Yu-lin

Wang

2021

Transportation Research Record

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The use of mobile phones while driving has been a hot topic in the field of driving safety for decades. Although there are few studies on the influence of gesture control on in-vehicle secondary tasks, this study aims to investigate the impact of gesture-based mobile phone use without touching while driving from the perspective of multiple-resource workload owing to visual, auditory, cognitive, and psychomotor resource occupation. A novel gesture control technique was adopted for secondary task interactions, to recognize the gestures of drivers. An experiment was conducted to study the influences of two interaction modes, traditional touch-based mobile phone interaction and gesture-based mobile phone interaction, on driving behavior in three different cognitive level task groups. The results indicate that gesture-based mobile phone interaction can improve driving performance with regard to lateral position-keeping ability and steering wheel control; nevertheless, it has no significant impact on longitudinal metrics such as driving speed, driving speed variation, and throttle control variation. Gesture-based mobile phone interactions have a larger effect on secondary tasks with medium cognitive load but not on actual operation tasks. It was also verified that the performance of gesture-based mobile phone interaction was better in secondary mobile phone tasks such as switching (e.g., switching songs) and adjusting (e.g., adjusting volume) than the traditional interaction mode. This study provides the theoretical and experimental support for human–computer interaction using gesture-based mobile phone interactive control in future automobiles.

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Section: Discussionmentioning

confidence: 98%

Influences of Gesture-Based Mobile Phone Use While Driving

Niu

Yu-lin

Wang

2021

Transportation Research Record

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“…This was followed by the frequency distributions for the variables of interest and comparative analyses consisting of Student’s t -test, analysis of variance (ANOVA) and the Kruskal–Wallis test due to the unbalanced participants between groups. Finally, the analyses of variable interaction through covariance analyses with analysis of covariance (ANCOVA) (Fancello et al , 2020).…”

Section: Methodsmentioning

confidence: 99%

Implications of remote work in post-pandemic times: a gender risk profile in Colombian workers

Campos García,

Cabrera-García,

Docal-Millán

et al. 2024

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Purpose Remote work has been intensifying in organizations, and the recent pandemic forced an immediate increase in it, ignoring its effect on the family. The purpose of this study was to analyze the work and personal-family life balance of Colombian workers during the lockdown and the effects on post-pandemic times. Design/methodology/approach Quantitative correlational study with a non-probabilistic sample of 1,069 participants: 349 (32.64%) men and 720 (67.35%) women. Findings A total of 44.8% of the participants reported that their work interfered with their personal life; 61.6% reported that their work exceeded their habitual time; 72.2% felt comfortable with the remote work; and women perceived more affectation, as did participants with children. No interaction was present between these variables. There are more interruptions for workers with children younger than 12 years. Practical implications There is satisfaction with remote work. However, there are difficulties regarding work-personal life balance that must be addressed to improve quality of life, with an emphasis on women and workers with children, especially younger children. Social implications This study provides empirical evidence for the foundation of public and organizational policies aimed at managing remote work and the work-personal life balance to reduce the risk of loss of female labor force and effects on the quality of life of workers. Originality/value Studies on the work-personal life balance with Latin American samples are scarce. This research contributes to the literature about satisfaction with working from home modality and the work-personal life balance during COVID-19 confinement, with a look at the differences by gender and the evaluation of the family conditions of Colombian workers, contributing to a regional perspective.

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“…Many studies have reported that distracted drivers (visual, cognitive) compensate for their driving impairment by reducing their speed [23,24]. e driving speed is affected by the complexity of the driving environment, and the results indicate that the workload of drivers increases as the driving environment becomes more complex; a greater speed reduction is a compensation measure [25,26].…”

Section: Introductionmentioning

confidence: 99%

Effect of Cognitive Distraction on Physiological Measures and Driving Performance in Traditional and Mixed Traffic Environments

Hua

Jin

Jiang

et al. 2021

Journal of Advanced Transportation

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Distracted driving is a dominant cause of traffic accidents. In addition, with the rapid development of intelligent vehicles, mixed traffic environments are expected to become more complicated with multiple types of intelligent vehicles sharing the road, thereby increasing the opportunities for distracted driving. However, the existing research on detecting driver distraction in mixed traffic environments is limited. Therefore, in this study, we analysed the effect of cognitive distraction on the driver physiological measures and driving performance in traditional and mixed traffic environments and compared the parameters extracted in the two environments. Sixty drivers were involved in the data collection, which included normal driving and two distracting tasks while driving in a simulator. Repeated-measures analysis of variance (ANOVA) was performed to examine the effect of cognitive distraction and traffic environments on all parameters. The results indicate that the effects of the pupil diameter, standard deviations (SDs) of the horizontal and vertical fixation angles, blink frequency, speed, SD of the lane positioning (SDLP), SD of the steering wheel angle (SDSWA), and steering entropy (SE) were significant. These findings provide a theoretical foundation for identifying the most appropriate parameters to detect cognitive distraction in traditional and mixed traffic environments to help reduce traffic accidents.

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Comparative analysis of the effects of mobile phone use on driving performance using ANOVA and ANCOVA

Cited by 5 publications

References 44 publications

Influences of Gesture-Based Mobile Phone Use While Driving

Influences of Gesture-Based Mobile Phone Use While Driving

Implications of remote work in post-pandemic times: a gender risk profile in Colombian workers

Effect of Cognitive Distraction on Physiological Measures and Driving Performance in Traditional and Mixed Traffic Environments

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