Testing and use of a PC-based tractor driving simulator to examine the impact of age and hypertension medication on selected driving performance measures

2020 ◽  
Author(s):  
Kayla Faust
Keyword(s):  
Performance Measures ◽  
Driving Simulator ◽  
Driving Performance ◽  
The Impact

Distracted driving impairs police patrol officer driving performance

2015 ◽  
Vol 38 (3) ◽  
pp. 505-516 ◽  
Author(s):  
Stephen M. James
Keyword(s):  
Police Officers ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Driving Simulator ◽  
Driving Performance ◽  
Distracted Driving ◽  
Content Type ◽  
Police Patrol ◽  
Study Results ◽  
The Impact

Purpose – Most US states exempt police officers from restrictive distracted laws, and most agencies require officers to use mobile data computers while driving. The purpose of this paper is to examine the impact of a text-based distraction task on officer driving performance. Design/methodology/approach – Experienced police patrol officers (n=80) participated in controlled laboratory experiments during which they drove a high-fidelity driving simulator on four separate occasions; twice immediately following five consecutive 10:40 hour patrol shifts (fatigued condition) and again 72 hours after completing the last shift in a cycle (rested condition). In each condition, officers drove identical, counterbalanced 15-minute courses with and without distraction tasks. The research used a within- and between-subjects design. Findings – A generalized linear mixed-model analysis of driving performance showed that officers’ distracted driving performance had significantly greater lane deviation (F=88.58, df=1,308, p < 0.001), instances of unintentionally leaving assigned driving lane (F=64.76, df=1,308, p < 0.001), and braking latency (F=200.82, df=1,308, p < 0.001) than during non-distracted drives. These measures are leading indicators for collision risk. Research limitations/implications – Simulated driving tasks presented were generally less challenging than patrol driving and likely underestimate the impact of distraction on police driving. Originality/value – Police officers appear to drive significantly worse while distracted, and their routine experience with using text-based communication devices while driving does not mitigate the risks associated with doing so. Study results suggest that policing organizations should modify policies, practices, training, and technologies to reduce the impact of distraction on officers’ driving. Failing to do so exposes officers and the communities they serve to unnecessary hazards and legal liabilities.

scholarly journals Isolating the Effect of Off-Road Glance Duration on Driving Performance: An Exemplar Study Comparing HDD and HUD in Different Driving Scenarios

2021 ◽  
pp. 001872082110314
Author(s):  
Missie Smith ◽  
Kiran Bagalkotkar ◽  
Joseph L. Gabbard ◽  
David R. Large ◽  
Gary Burnett
Keyword(s):  
Visual Attention ◽  
User Interfaces ◽  
Human Performance ◽  
Driving Simulator ◽  
Driving Performance ◽  
Behavioral Changes ◽  
The Road ◽  
Driving Behaviors ◽  
Novel Method ◽  
The Impact

Objective We controlled participants’ glance behavior while using head-down displays (HDDs) and head-up displays (HUDs) to isolate driving behavioral changes due to use of different display types across different driving environments. Background Recently, HUD technology has been incorporated into vehicles, allowing drivers to, in theory, gather display information without moving their eyes away from the road. Previous studies comparing the impact of HUDs with traditional displays on human performance show differences in both drivers’ visual attention and driving performance. Yet no studies have isolated glance from driving behaviors, which limits our ability to understand the cause of these differences and resulting impact on display design. Method We developed a novel method to control visual attention in a driving simulator. Twenty experienced drivers sustained visual attention to in-vehicle HDDs and HUDs while driving in both a simple straight and empty roadway environment and a more realistic driving environment that included traffic and turns. Results In the realistic environment, but not the simpler environment, we found evidence of differing driving behaviors between display conditions, even though participants’ glance behavior was similar. Conclusion Thus, the assumption that visual attention can be evaluated in the same way for different types of vehicle displays may be inaccurate. Differences between driving environments bring the validity of testing HUDs using simplistic driving environments into question. Application As we move toward the integration of HUD user interfaces into vehicles, it is important that we develop new, sensitive assessment methods to ensure HUD interfaces are indeed safe for driving.

Examining the Association Between Age and Tractor Driving Performance Measures Using a High-Fidelity Tractor Driving Simulator

2021 ◽  
Vol 27 (3) ◽  
pp. 159-175
Author(s):  
Kayla Faust ◽  
Carri Casteel ◽  
Daniel V. McGehee ◽  
Corinne Peek-Asa ◽  
Diane Rohlman ◽  
...  
Keyword(s):  
Response Time ◽  
Driving Simulator ◽  
Small Sample Size ◽  
Driving Performance ◽  
Small Sample ◽  
List Type ◽  
Medical Diagnoses ◽  
Increased Risk ◽  
Farm Equipment ◽  
The Impact

Highlights This study uses a new tractor driving simulator to examine the impact of age on perception response time in an emergency braking situation. The results demonstrate increased risk for crash among older farm equipment operators. Abstract. Transportation-related incidents are the leading cause of occupational fatalities for all industries in the U.S. In the agriculture industry, where tractor-related incidents are the leading cause of occupational fatality, fatal crashes occur more frequently among senior farm equipment operators (FEOs) than younger FEOs. This study examined the association between age and driving performance among FEOs using a simulated driving environment. We demonstrated that older FEOs have longer perception response times when encountering an incurring semi-truck during a simulated drive than younger FEOs. These results persisted when adjusted for selected medical diagnoses and medications, tractor generation, and tractor horsepower. However, due to the small sample size and limitations of the tractor driving simulator, its use for event perception response time research is questionable. The tractor driving simulator used in this study may be better suited for distracted driving studies and studies comparing the ways in which FEOs drive passenger vehicles compared to tractors. Keywords: Driving simulation, Perception response time, Senior drivers, Tractor.

Driver Distraction: Evaluation with Event Detection Paradigm

2003 ◽  
Vol 1843 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Jeff Greenberg ◽  
Louis Tijerina ◽  
Reates Curry ◽  
Bruce Artz ◽  
Larry Cathey ◽  
...  
Keyword(s):  
Performance Measures ◽  
Event Detection ◽  
Driving Simulator ◽  
Vehicle Control ◽  
Driving Performance ◽  
Driver Distraction ◽  
Adult Group ◽  
Climate Control ◽  
Moving Base ◽  
Teenage Drivers

The effects of eight in-vehicle tasks on driver distraction were measured in a large, moving-base driving simulator. Forty-eight adults, ranging in age from 35 to 66, and 15 teenagers participated in the simulated drive. Hand-held and hands-free versions of phone dialing, voicemail retrieval, and incoming calls represented six of the eight tasks. Manual radio tuning and climate control adjustment were also included to allow comparison with tasks that have traditionally been present in vehicles. During the drive the participants were asked to respond to sudden movements in surrounding traffic. The driver’s ability to detect these sudden movements or events changed with the nature of the in-vehicle tasks that were being performed. Driving performance measures such as lane violations and heading error were also computed. The performance of the adult group was compared with the performance of the teenage drivers. Compared with the adults, the teens were found to choose unsafe following distances, have poor vehicle control skills, and be more prone to distraction from hand-held phone tasks.

scholarly journals Public reporting of performance measures in long-term care in Canada: does it make a difference?

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Poldrugovac ◽  
J E Amuah ◽  
H Wei-Randall ◽  
P Sidhom ◽  
K Morris ◽  
...  
Keyword(s):  
Performance Measures ◽  
Performance Indicators ◽  
Long Term Care ◽  
Public Reporting ◽  
Policy Implications ◽  
Term Care ◽  
Factors Affecting ◽  
Care Facilities ◽  
The Impact

Abstract Background Evidence of the impact of public reporting of healthcare performance on quality improvement is not yet sufficient to draw conclusions with certainty, despite the important policy implications. This study explored the impact of implementing public reporting of performance indicators of long-term care facilities in Canada. The objective was to analyse whether improvements can be observed in performance measures after publication. Methods We considered 16 performance indicators in long-term care in Canada, 8 of which are publicly reported at a facility level, while the other 8 are privately reported. We analysed data from the Continuing Care Reporting System managed by the Canadian Institute for Health Information and based on information collection with RAI-MDS 2.0 © between the fiscal years 2011 and 2018. A multilevel model was developed to analyse time trends, before and after publication, which started in 2015. The analysis was also stratified by key sample characteristics, such as the facilities' jurisdiction, size, urban or rural location and performance prior to publication. Results Data from 1087 long-term care facilities were included. Among the 8 publicly reported indicators, the trend in the period after publication did not change significantly in 5 cases, improved in 2 cases and worsened in 1 case. Among the 8 privately reported indicators, no change was observed in 7, and worsening in 1 indicator. The stratification of the data suggests that for those indicators that were already improving prior to public reporting, there was either no change in trend or there was a decrease in the rate of improvement after publication. For those indicators that showed a worsening trend prior to public reporting, the contrary was observed. Conclusions Our findings suggest public reporting of performance data can support change. The trends of performance indicators prior to publication appear to have an impact on whether further change will occur after publication. Key messages Public reporting is likely one of the factors affecting change in performance in long-term care facilities. Public reporting of performance measures in long-term care facilities may support improvements in particular in cases where improvement was not observed before publication.

Effects of Individual Differences, Attention, and Memory Deficits on Driver Distraction

2020 ◽  
Vol 64 (1) ◽  
pp. 1196-1201
Author(s):  
Alejandro A. Arca ◽  
Kaitlin M. Stanford ◽  
Mustapha Mouloua
Keyword(s):  
Individual Differences ◽  
Driving Simulator ◽  
Memory Deficits ◽  
Driving Performance ◽  
Driver Distraction ◽  
Phone Call ◽  
Traffic Density ◽  
Attention And Memory ◽  
Adhd Diagnosis ◽  
Simulated Driving

The current study was designed to empirically examine the effects of individual differences in attention and memory deficits on driver distraction. Forty-eight participants consisting of 37 non-ADHD and 11 ADHD drivers were tested in a medium fidelity GE-ISIM driving simulator. All participants took part in a series of simulated driving scenarios involving both high and low traffic conditions in conjunction with completing a 20-Questions task either by text- message or phone-call. Measures of UFOV, simulated driving, heart rate variability, and subjective (NASA TLX) workload performance were recorded for each of the experimental tasks. It was hypothesized that ADHD diagnosis, type of cellular distraction, and traffic density would affect driving performance as measured by driving performance, workload assessment, and physiological measures. Preliminary results indicated that ADHD diagnosis, type of cellular distraction, and traffic density affected the performance of the secondary task. These results provide further evidence for the deleterious effects of cellphone use on driver distraction, especially for drivers who are diagnosed with attention-deficit and memory capacity deficits. Theoretical and practical implications are discussed, and directions for future research are also presented.

Evaluating and Motivating Activation in Long Term Care: Lessons From a Pilot Study

2021 ◽  
Vol 10 (1) ◽  
pp. 42-46
Author(s):  
J. Jbilou ◽  
A. El Bouazaoui ◽  
B. Zhang ◽  
J.L. Henry ◽  
L McDonald ◽  
...  
Keyword(s):  
Long Term Care ◽  
Driving Simulator ◽  
Care Home ◽  
Lessons Learned ◽  
Term Care ◽  
Care Facilities ◽  
Technological Intervention ◽  
The Impact ◽  
Research Recommendations

Older adults living in long-term care facilities typically receive insufficient exercise and have long periods of the day when they are not doing anything other than sitting or lying down, watching television, or ruminating (Wilkinson et al., 2017). We developed an intervention called the Experiential Centivizer, which provides residents with opportunities to use a driving simulator, watch world travel videos, and engage in exercise. We assessed the impact of the intervention on residents of a long-term care home in Fredericton, NB, Canada. In this paper, we report on the results observed and highlight the lessons learned from implementing a technological intervention within a long-term care setting. Practical and research recommendations are also discussed to facilitate future intervention implementation in long-term care.

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