scholarly journals Impact of Driver Age and Experience in Software Usage on Driving Safety and Usability of Car-Sharing Software

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Chunhui Jing ◽  
Jinyi Zhi ◽  
Suixian Yang ◽  
Wei Wang
Keyword(s):  
Driving Simulator ◽  
Negative Impact ◽  
Nonparametric Test ◽  
The Elderly ◽  
Sharing Economy ◽  
Driving Safety ◽  
Car Sharing ◽  
Young Drivers ◽  
Usability Problems ◽  
Better Than

Car-sharing economy has caused new driving safety and usability problems, which have not been well studied. This study aims at analyzing the effects of users age and the user experience (UX) of the car-sharing software (e.g., DiDi travel app) on overall usability and the level of distraction for drivers. To this end, 48 experienced Chinese drivers were recruited to perform various tasks with the car-sharing software using a driving simulator. The variables of driving safety and usability were analyzed by two-way analysis of variance (ANOVA) and independent sample Kruskal–Wallis nonparametric test. As expected, it was found that car-sharing software has a significant negative impact on driving distraction and usability. The overall performance of young drivers is better than that of the elderly, but it seems that young drivers are more likely to be led to errors by car-sharing software. In most aspects, experienced drivers perform better than inexperienced drivers and have a better in-depth understanding of car-sharing software weaknesses. However, inexperienced drivers performed better regarding braking time and interaction time. Although young inexperienced drivers performed worst in driving safety, they exhibited the lowest cognitive load and the highest interaction efficiency. The experience of using car-sharing software may improve driver’s ability to deal with driving distractions. The above conclusions provide theoretical support for optimizing the UX of car-sharing software and some references for driver’s screening and training.

Minding the Gap: Effects of an Attention Maintenance Training Program on Driver Calibration

2020 ◽  
pp. 001872082096529
Author(s):  
James Unverricht ◽  
Yusuke Yamani ◽  
Jing Chen ◽  
William J. Horrey
Keyword(s):  
Training Program ◽  
Cognitive Skills ◽  
Driving Simulator ◽  
Training Programs ◽  
Driving Safety ◽  
Driver Training ◽  
Actual Performance ◽  
Young Drivers ◽  
Maintenance Behaviors ◽  
Target Skills

Objective The present study examines the effect of an existing driver training program, FOrward Concentration and Attention Learning (FOCAL) on young drivers’ calibration, drivers’ ability to estimate the length of their in-vehicle glances while driving, using two different measures, normalized difference scores and Brier Scores. Background Young drivers are poor at maintaining attention to the forward roadway while driving a vehicle. Additionally, drivers may overestimate their attention maintenance abilities. Driver training programs such as FOCAL may train target skills such as attention maintenance but also might serve as a promising way to reduce errors in drivers’ calibration of their self-perceived attention maintenance behaviors in comparison to their actual performance. Method Thirty-six participants completed either FOCAL or a Placebo training program, immediately followed by driving simulator evaluations of their attention maintenance performance. In the evaluation drive, participants navigated four driving simulator scenarios during which their eyes were tracked. In each scenario, participants performed a map task on a tablet simulating an in-vehicle infotainment system. Results FOCAL-trained drivers maintained their attention to the forward roadway more and reported better calibration using the normalized difference measure than Placebo-trained drivers. However, the Brier scores did not distinguish the two groups on their calibration. Conclusion The study implies that FOCAL has the potential to improve not only attention maintenance skills but also calibration of the skills for young drivers. Application Driver training programs may be designed to train not only targeted higher cognitive skills but also driver calibration—both critical for driving safety in young drivers.

scholarly journals Age-Related Diseases and Driving Safety

Geriatrics ◽  
2020 ◽  
Vol 5 (4) ◽  
pp. 80
Author(s):  
Michael Falkenstein ◽  
Melanie Karthaus ◽  
Ute Brüne-Cohrs
Keyword(s):  
Diabetes Mellitus ◽  
Driving Simulator ◽  
The Elderly ◽  
Cognitive Disorder ◽  
Driving Safety ◽  
Elderly Drivers ◽  
Age Related ◽  
Independent Life ◽  
Driving Fitness ◽  
The Impact

Due to demographic changes, the number of older drivers is steadily increasing. Mobility is highly relevant for leading an independent life in the elderly. It largely depends on car driving, which is a complex task requiring a multitude of cognitive and motor skills vulnerable to age- related functional deterioration. The almost inevitable effects of senescence may be potentiated by age-related diseases, such as stroke or diabetes mellitus. Respective pharmacological treatment may cause side effects, additionally affecting driving safety. The present article reviews the impact of age-related diseases and drug treatment of these conditions on driving fitness in elderly drivers. In essence, we focus on diseases of the visual and auditory systems, diseases of the central nervous system (i.e., stroke, depression, dementia and mild cognitive disorder, and Parkinson’s disease), sleep disorders, as well as cardiovascular diseases, diabetes mellitus, musculoskeletal disorders, and frailty. We will outline the role of functional tests and the assessment of driving behavior (by a driving simulator or in real traffic), as well as the clinical interview including questions about frequency of (near) accidents, etc. in the evaluation of driving fitness of the elderly. We also address the impact of polypharmacy on driving fitness and end up with recommendations for physicians caring for older patients.

Driver Behavior at a Freeway Merge to Mixed Traffic of Conventional and Connected Autonomous Vehicles

2020 ◽  
Vol 2674 (11) ◽  
pp. 867-874
Author(s):  
Sneha Chityala ◽  
John O. Sobanjo ◽  
Eren Erman Ozguven ◽  
Thobias Sando ◽  
Richard Twumasi-Boakye
Keyword(s):  
Autonomous Vehicles ◽  
Driving Simulator ◽  
The Elderly ◽  
Market Penetration ◽  
Mixed Traffic ◽  
Traffic Operations ◽  
Freeway Traffic ◽  
Elderly Drivers ◽  
Young Drivers ◽  
The Subject

Freeway merge ramps serve as one of the most challenging areas in traffic operations. This paper primarily focuses on creating a mixed traffic of conventional and connected/autonomous vehicles (CAVs) on freeways, and capturing driver behaviors both for the merging vehicle on the ramp and the freeway vehicles. The mixed distribution of vehicle headways of the freeway vehicles, developed based on various market penetration rates of the CAVs, was used to randomly generate vehicles through Monte Carlo simulation, and assigned as headways in a driving simulator. Based on perception, young drivers on the merge ramp were observed to choose critical headway gaps of 2.9 s, 1.8 s, and 1.7 s for freeway traffic of 0%, 50%, 75% penetration rates, respectively. For similar CAV penetration rates, the critical gaps observed for elderly drivers were 3.5 s, 2.0 s, and 1.9 s, respectively. When actually driving in the simulator, for the scenarios of 0% CAVs and 50% CAVs on the freeway, the values of average headway gaps accepted by young drivers were estimated as 2.36 s and 1.53 s, respectively. For the elderly drivers driving the simulator, the average headway gap values accepted were estimated as 2.72 s and 1.55 s, respectively, in the 0% and 50% penetration rates on the freeway traffic. Analyses of the speed profiles of the vehicles showed the effects of the acceleration/deceleration of merging vehicles, for both young and older drivers, on the freeway vehicles, including a few cases of collision. Overall, it was observed that the subject drivers accepted shorter headway gaps for increased CAV penetration levels.

scholarly journals Increased visual and cognitive demands emphasize the importance of meeting visual needs at all distances while driving

2020 ◽  
Author(s):  
Amigale Patoine ◽  
Laura Mikula ◽  
Sergio Mejía-Romero ◽  
Jesse Michaels ◽  
Océane Keruzore ◽  
...  
Keyword(s):  
Visual Acuity ◽  
Cognitive Load ◽  
Driving Simulator ◽  
Negative Impact ◽  
Visual Quality ◽  
Driving Behavior ◽  
Driving Safety ◽  
Quality Degradation ◽  
Driving Scenario ◽  
The Impact

ABSTRACTHaving an optimal quality of vision as well as adequate cognitive capacities is known to be essential for driving safety. However, the interaction between vision and cognitive mechanisms while driving remains unclear. We hypothesized that, in a context of high cognitive load, reduced visual acuity would have a negative impact on driving behavior, even when the acuity corresponds to the legal threshold for obtaining a driving license in Canada, and that the impact observed on driving performance would be greater with the increase in the threshold of degradation of visual acuity. In order to investigate this relationship, we examined driving behavior in a driving simulator under optimal and reduced vision conditions through two scenarios involving different levels of cognitive demand. These were: 1. a simple rural driving scenario with some pre-programmed events and 2. a highway driving scenario accompanied by a concurrent task involving the use of a navigation device. Two groups of visual quality degradation (lower/ higher) were evaluated according to their driving behavior. The results support the hypothesis: Driving behavior was less stable under reduced visual quality in the context of a high cognitive load and this effect was exacerbated when visual quality was more severely altered. These results support the idea that visual quality degradation impacts driving behavior when combined with a high mental workload driving environment while specifying that this impact is not present in the context of low cognitive load driving condition.

scholarly journals Health risk assessment and countermeasure analysis of the elderly population exposed to PM2.5 microenvironment

Work ◽  
2021 ◽  
pp. 1-11
Author(s):  
Yan Xu ◽  
Wantian Cui
Keyword(s):  
Mental Health ◽  
Health Risk ◽  
Elderly Population ◽  
Mental Health Problems ◽  
Negative Impact ◽  
The Elderly ◽  
Exposure Concentration ◽  
Physical Diseases ◽  
The Impact

BACKGROUND: China’s atmospheric PM2.5 pollution is serious, and PM2.5 exerts a negative impact on the human respiratory system, cardiovascular, and mental health, and even more serious health risk for the elderly with weak immunity. OBJECTIVE: This work aims to analyse the impacts of PM2.5 microenvironment exposure on the health of the elderly and provide corresponding countermeasures. METHODS: The survey subjects are 118 retired elderly people in the community. PM2.5 exposure concentrations are monitored in summer (June 10 ∼ July 10, 2019) and winter (November 25 ∼ December 25, 2019). RESULTS: The exposure concentration in winter is higher than that in summer, with statistical difference (P <  0.05). Under the impact of PM2.5 microenvironment exposure, smoking in the elderly can increase the concentration of PM2.5, and long-term exposure to PM2.5 in the elderly can cause mental health problems. CONCLUSION: Long-term exposure of the elderly to the PM2.5 microenvironment leads to physical diseases and even psychological problems, which requires attention.

“Caring for the Elderly is Very Difficult”: Challenges and Coping Strategies of Caregivers in Urban Poor Accra, Ghana

2020 ◽  
pp. 105477382098230
Author(s):  
Frank Kyei-Arthur ◽  
Samuel Nii Ardey Codjoe
Keyword(s):  
Coping Strategies ◽  
Family Caregiving ◽  
Urban Poor ◽  
Phenomenological Study ◽  
Negative Impact ◽  
Elderly Care ◽  
The Elderly ◽  
Care Recipients ◽  
Negative Impacts ◽  
And Coping

This study is part of a broader phenomenological study on the experiences of family caregivers and their care recipients. There is a general paucity of research on the experiences of primary and secondary caregivers, and the negative impact of elderly care on caregivers in the urban poor settings in Ghana. This study explored primary and secondary caregivers’ challenges and coping strategies in the urban poor context in Accra, Ghana. This study was conducted in Ga Mashie. Thirty-one caregivers were interviewed. A phenomenological analysis was conducted using NVivo 10. Primary and secondary caregivers experienced economic, physical, social, and psychological burdens. Also, caregivers used spirituality and perseverance to cope with their challenges. The findings demonstrate that caregivers’ challenges varied by type of caregiver. Researchers and policymakers should consider the type of caregiver when designing interventions to mitigate the negative impacts of family caregiving on caregivers.

An Informant Questionnaire for Detecting Alzheimer's Disease: Are Some Items Better Than Others?

2011 ◽  
Vol 17 (4) ◽  
pp. 674-681 ◽  
Author(s):  
Sietske A.M. Sikkes ◽  
Dirk L. Knol ◽  
Mark T. van den Berg ◽  
Elly S.M. de Lange-de Klerk ◽  
Philip Scheltens ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Structural Equation ◽  
Structural Model ◽  
The Elderly ◽  
Equation Modeling ◽  
Or Education ◽  
Healthy Elderly ◽  
Patient Groups ◽  
Better Than

AbstractA decline in everyday cognitive functioning is important for diagnosing dementia. Informant questionnaires, such as the informant questionnaire on cognitive decline in the elderly (IQCODE), are used to measure this. Previously, conflicting results on the IQCODEs ability to discriminate between Alzheimer's disease (AD), mild cognitive impairment (MCI), and cognitively healthy elderly were found. We aim to investigate whether specific groups of items are more useful than others in discriminating between these patient groups. Informants of 180 AD, 59 MCI, and 89 patients with subjective memory complaints (SMC) completed the IQCODE. To investigate the grouping of questionnaire items, we used a two-dimensional graded response model (GRM).The association between IQCODE, age, gender, education, and diagnosis was modeled using structural equation modeling. The GRM with two groups of items fitted better than the unidimensional model. However, the high correlation between the dimensions (r=.90) suggested unidimensionality. The structural model showed that the IQCODE was able to differentiate between all patient groups. The IQCODE can be considered as unidimensional and as a useful addition to diagnostic screening in a memory clinic setting, as it was able to distinguish between AD, MCI, and SMC and was not influenced by gender or education. (JINS, 2011, 17, 674–681)

Information and psychological security in the development of computer literacy in the elderly

2021 ◽  
pp. 270-278
Author(s):  
Tatyana Borisovna Berestok
Keyword(s):  
Quality Of Life ◽  
Elderly People ◽  
Computer Literacy ◽  
Negative Impact ◽  
Social Institutions ◽  
The Elderly ◽  
Information Environment ◽  
Specific Information ◽  
Negative Factors

This article deals with the issue of self-preservation of elderly people when learning to work on a computer from the point of view of information and psychological security. The necessity of solving new socio-psychological problems is indicated: to develop the ability to give a correct assessment of a specific information threat, to prevent the negative impact of the information environment, to resist negative factors, and to contribute to improving the quality of life. The purpose of counseling elderly people is to develop their ability to understand the problem of the negative impact of the information environment on psychological and physiological health, to be able to apply methods to ensure information and psychological security. Consulting and educational work with the elderly and employees of social institutions engaged in professional activities directly related to the above category should be aimed at preventing cases of fraudulent activities. Consulting work with them should not only meet the general principles of building psychological contact, but also cause an understanding of the importance of compliance with security in the digital sphere. Elderly people develop the ability to assess correctly a specific information threat and prevent the negative impact of the information environment by providing adequate resistance to negative factors and contributing to improving their quality of life. It is increasingly difficult for older people to navigate threats, unmotivated anxiety increases, depressiveness appears and becomes fixed, and asocial personality traits are formed. At the present time, it is necessary to consider the formation of information and computer literacy as a mechanism to counteract the negative impact of the information environment and a necessary condition for developing an effective strategy for the social adaptation of elderly people.

Technological unemployment and the business model of sharing economy in conditions of digitalized economy

2021 ◽  
Vol 21 (1) ◽  
pp. 208-225
Author(s):  
Lyudmila Belova
Keyword(s):  
Business Model ◽  
Industrial Revolution ◽  
Negative Impact ◽  
Well Being ◽  
Sharing Economy ◽  
Technological Unemployment ◽  
The One ◽  
Development Paradigm ◽  
The Impact ◽  
Industrial Revolutions

The article traces the impact of innovation on employment and workers income during industrial revolutions. The aim of the study is to identify the business model that contributes to improving the well-being and reducing negative impact of innovative transformations on employees. To achieve this goal, we analyze: the conceptions of industrial revolutions; the “Engels pause”, which arose during the First Industrial Revolution as a “surge” in inequality due to the contradiction between productivity growth and profit, on the one hand, and the stagnation of workers’ real incomes, on the other; the effect of replacing manual labor with automated one; the problems of technological unemployment; the digital business model of sharing economy. The findings report conclusions concerning the change in economic development paradigm as a result of the replacement of classical consumption models by sharing economy business model, on the prospects of the sharing economy business model in the context of its ability to solve employment problems, overcome technological unemployment and increase employees’ income. The achieved results can be useful for policymakers and corporate structures that design innovative development strategies.

RETRACTED: Impact of Information Bandwidth of In-Vehicle Technologies on Young Drivers’ Attention Maintenance Performance: A Driving Simulator Study

2017 ◽  
Vol 61 (1) ◽  
pp. 1639-1643
Keyword(s):  
Human Factors ◽  
Driving Simulator ◽  
Young Drivers ◽  
Simulator Study ◽  
Vehicle Technologies ◽  
Maintenance Performance

This proceedings paper was inadvertently published after the authors notified the journal of their desire to withdraw the paper from the conference. The paper was not actually presented at the conference. This retraction is being issued at the authors’ request. The Journal, Human Factors, and SAGE apologize to the authors and readers for the inadvertent publication.

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