AI Article Synopsis
- A meta-analysis of 33 studies up to 2007 analyzed the impact of cell phone use on driving, involving around 2000 participants and assessing various factors like reaction time and vehicle control.
- The study found that talking on a phone, whether handheld or hands-free, led to a significant decrease in reaction times, with an average increase of 0.25 seconds when drivers were engaged in phone-related tasks.
- It concluded that drivers don’t compensate for decreased performance by adjusting their speed or headway, suggesting that current assessments may underestimate the risks of driving while using a mobile phone, which has implications for future legislation and research.
Article Abstract
The empirical basis for legislation to limit cell phones while driving is addressed. A comprehensive meta-analysis of the effects of cell phones on driving performance was performed. A total of 33 studies collected through 2007 that met inclusion criteria yielded 94 effect size estimates, with a total sample size of approximately 2000 participants. The dependent variables of reaction time, lateral vehicle control, headway and speed and the moderating variables of research setting (i.e., laboratory, simulator, on-road), conversation target (passenger, cell phone) and conversation type (cognitive task, naturalistic) were coded. Reaction time (RT) to events and stimuli while talking produced the largest performance decrements. Handheld and hands-free phones produced similar RT decrements. Overall, a mean increase in RT of .25s was found to all types of phone-related tasks. Observed performance decrements probably underestimate the true behavior of drivers with mobile phones in their own vehicles. In addition, drivers using either phone type do not appreciably compensate by giving greater headway or reducing speed. Tests for moderator effects on RT and speed found no statistically significant effect size differences across laboratory, driving simulation and on-road research settings. The implications of the results for legislation and future research are considered.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.aap.2008.01.009 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The customer satisfaction model in the mobile telecommunications sector after Covid-19 pandemic.
PLoS One
January 2025
Department of Business Economics and Management, Masaryk University Faculty of Economics and Administration, Brno, Czech Republic.
The subject of this paper is modeling customer satisfaction in the mobile telecommunication industry following the Covid-19 pandemic. Based on standard customer satisfaction models, a specialized model tailored for the mobile telecommunication industry has been developed to account for its unique characteristics, including market concentration. This model was created within the Slovakian context using the Structural Equation Modelling method.
View Article and Find Full Text PDFInfluence of Smartphone Usage on development of Sexuality among Late Adolescent Boys in Health Sciences Colleges of South India.
F1000Res
January 2025
Department of Community Medicine, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education,, Karnataka, Manipal, 576104, India.
Background: Better affordability of data plans and an increase in "budget" smartphones have resulted in an exponential rise in internet and smartphone users. The ease of access to sexually explicit material (SEM) coupled with adolescents' impulsivity makes them prone to excessive SEM exposure and may affect the development of sexuality via the perceived realism of such content. This study was done to study the influence between problematic smartphone usage (PSU) and sexuality development among late adolescent boys.
View Article and Find Full Text PDFThe Association of Psychological Factors With Willingness to Share Health-Related Data From Technological Devices: Cross-Sectional Questionnaire Study.
JMIR Form Res
January 2025
Department of Medical and Clinical Psychology, Center of Research on Psychological Disorders and Somatic Diseases (CoRPS), Tilburg University, Tilburg, the Netherlands, 31 134662142.
Background: Health-related data from technological devices are increasingly obtained through smartphone apps and wearable devices. These data could enable physicians and other care providers to monitor patients outside the clinic or assist individuals in improving lifestyle factors. However, the use of health technology data might be hampered by the reluctance of patients to share personal health technology data because of the privacy sensitivity of this information.
View Article and Find Full Text PDFPic2Plate: A Vision-Language and Retrieval-Augmented Framework for Personalized Recipe Recommendations.
Sensors (Basel)
January 2025
Department of Computer Engineering, Dongseo University, Busan 47011, Republic of Korea.
Choosing nutritious foods is essential for daily health, but finding recipes that match available ingredients and dietary preferences can be challenging. Traditional recommendation methods often lack personalization and accurate ingredient recognition. Personalized systems address this by integrating user preferences, dietary needs, and ingredient availability.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!