scholarly journals The iconography of vehicle automation—a focus group study

2021 ◽  
Author(s):  
Joy Richardson ◽  
Kirsten M. A. Revell ◽  
Jisun Kim ◽  
Neville A. Stanton
Keyword(s):  
Focus Group ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
International Markets ◽  
Cultural Barriers ◽  
Focus Group Study ◽  
Complex Information ◽  
Vehicle Automation ◽  
The Impact ◽  
Level 2

AbstractSAE level 2 and 3 semi-autonomous vehicles are widely available but, due to the nature of automation, their in-vehicle displays are required to communicate more complex information to the driver. Examination of interfaces from a variety of manufacturers revealed a clear lack of consistency in the way key information is displayed. Different manufacturers have adopted icons varying in shape and colour to convey the same message. When driving a semi-autonomous vehicle, mode awareness is critical for trust, performance and safety. Standardisation of icons has been shown to have many benefits including opening products up to wider international markets by helping overcome language and cultural barriers, by providing a method of communication which can surpass them. However, the current lack of standardisation in icon design could cause mode confusion and has little cross-vehicle compatibility. To understand the impact of mode confusion on users, a focus group was held in which participants were asked to interpret the meaning of icons from a variety of different driver interfaces. Ambiguity in user interpretations makes the case for the introduction of new ISO standard icons to better support drivers in SAE level 2 and 3 automated vehicles.

scholarly journals An Efficiency Enhancing Methodology for Multiple Autonomous Vehicles in an Urban Network Adopting Deep Reinforcement Learning

2021 ◽  
Vol 11 (4) ◽  
pp. 1514 ◽  
Author(s):  
Quang-Duy Tran ◽  
Sang-Hoon Bae
Keyword(s):  
Reinforcement Learning ◽  
Traffic Congestion ◽  
Autonomous Vehicles ◽  
Penetration Rate ◽  
Autonomous Vehicle ◽  
Effective Means ◽  
Urban Network ◽  
Learning Agents ◽  
Policy Optimization ◽  
The Impact

To reduce the impact of congestion, it is necessary to improve our overall understanding of the influence of the autonomous vehicle. Recently, deep reinforcement learning has become an effective means of solving complex control tasks. Accordingly, we show an advanced deep reinforcement learning that investigates how the leading autonomous vehicles affect the urban network under a mixed-traffic environment. We also suggest a set of hyperparameters for achieving better performance. Firstly, we feed a set of hyperparameters into our deep reinforcement learning agents. Secondly, we investigate the leading autonomous vehicle experiment in the urban network with different autonomous vehicle penetration rates. Thirdly, the advantage of leading autonomous vehicles is evaluated using entire manual vehicle and leading manual vehicle experiments. Finally, the proximal policy optimization with a clipped objective is compared to the proximal policy optimization with an adaptive Kullback–Leibler penalty to verify the superiority of the proposed hyperparameter. We demonstrate that full automation traffic increased the average speed 1.27 times greater compared with the entire manual vehicle experiment. Our proposed method becomes significantly more effective at a higher autonomous vehicle penetration rate. Furthermore, the leading autonomous vehicles could help to mitigate traffic congestion.

Exploring Preferences towards Integrating the Autonomous Vehicles with the Current Microtransit Services: A Disability Focus Group Study

2021 ◽  
Author(s):  
Ronik Ketankumar Patel ◽  
Roya Etminani-Ghasrodashti ◽  
Sharareh Kermanshachi ◽  
Jay Michael Rosenberger ◽  
David Weinreich
Keyword(s):  
Focus Group ◽  
Autonomous Vehicles ◽  
Focus Group Study

scholarly journals Assessment of Social Acceptance for Autonomous Vehicles in Southeastern Poland

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5778
Author(s):  
Agnieszka Dudziak ◽  
Monika Stoma ◽  
Andrzej Kuranc ◽  
Jacek Caban
Keyword(s):  
Autonomous Vehicles ◽  
Social Acceptance ◽  
New Technologies ◽  
Consumer Preferences ◽  
Autonomous Vehicle ◽  
Developed Countries ◽  
Automotive Market ◽  
Advantages And Disadvantages ◽  
Autonomous Cars ◽  
The Impact

New technologies reaching out for meeting the needs of an aging population in developed countries have given rise to the development and gradual implementation of the concept of an autonomous vehicle (AV) and have even made it a necessity and an important business paradigm. However, in parallel, there is a discussion about consumer preferences and the willingness to pay for new car technologies and intelligent vehicle options. The main aim of the study was to analyze the impact of selected factors on the perception of the future of autonomous cars by respondents from the area of Southeastern Poland in terms of a comparison with traditional cars, with particular emphasis on the advantages and disadvantages of this concept. The research presented in this study was conducted in 2019 among a group of 579 respondents. Data analysis made it possible to identify potential advantages and disadvantages of the concept of introducing autonomous cars. A positive result of the survey is that 68% of respondents stated that AV will be gradually introduced to our market, which confirms the high acceptance of this technology by Poles. The obtained research results may be valuable information for governmental and local authorities, but also for car manufacturers and their future users. It is an important issue in the area of shaping the strategy of actions concerning further directions of development on the automotive market.

Patients’ perspective of the impact of COPD on quality of life: a focus group study for patients with COPD

2018 ◽  
Vol 40 (3) ◽  
pp. 573-579 ◽  
Author(s):  
Anan Jarab ◽  
Eman Alefishat ◽  
Tareq Mukattash ◽  
Karem Alzoubi ◽  
Sharrel Pinto
Keyword(s):  
Quality Of Life ◽  
Focus Group ◽  
Focus Group Study ◽  
The Impact ◽  
Patients Perspective

scholarly journals Semi-Autonomous Vehicles as a Cognitive Assistive Device for Older Adults

Geriatrics ◽  
2019 ◽  
Vol 4 (4) ◽  
pp. 63
Author(s):  
Frank Knoefel ◽  
Bruce Wallace ◽  
Rafik Goubran ◽  
Iman Sabra ◽  
Shawn Marshall
Keyword(s):  
Older Adults ◽  
Autonomous Vehicles ◽  
Cognitive Change ◽  
Health Needs ◽  
Assistive Device ◽  
Cognitive Changes ◽  
Age Related ◽  
Vehicle Automation ◽  
The Impact ◽  
Aging Drivers

Losing the capacity to drive due to age-related cognitive decline can have a detrimental impact on the daily life functioning of older adults living alone and in remote areas. Semi-autonomous vehicles (SAVs) could have the potential to preserve driving independence of this population with high health needs. This paper explores if SAVs could be used as a cognitive assistive device for older aging drivers with cognitive challenges. We illustrate the impact of age-related changes of cognitive functions on driving capacity. Furthermore, following an overview on the current state of SAVs, we propose a model for connecting cognitive health needs of older drivers to SAVs. The model demonstrates the connections between cognitive changes experienced by aging drivers, their impact on actual driving, car sensors’ features, and vehicle automation. Finally, we present challenges that should be considered when using the constantly changing smart vehicle technology, adapting it to aging drivers and vice versa. This paper sheds light on age-related cognitive characteristics that should be considered when developing future SAVs manufacturing policies which may potentially help decrease the impact of cognitive change on older adult drivers.

scholarly journals The Impact of Social Influence, Technophobia, and Perceived Safety on Autonomous Vehicle Technology Adoption

2019 ◽  
Vol 48 (2) ◽  
pp. 133-142
Author(s):  
Sahil Koul ◽  
Ali Eydgahi
Keyword(s):  
Technology Adoption ◽  
Social Influence ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Negative Relationship ◽  
Future Research ◽  
Intention To Use ◽  
Perceived Safety ◽  
Vehicle Technology ◽  
The Impact

The objective of this study was to determine whether there was a relationship between social influence, technophobia, perceived safety of autonomous vehicle technology, number of automobile-related accidents and the intention to use autonomous vehicles. The methodology was a descriptive, cross-sectional, correlational study. Theory of Planned Behavior provided the underlying theoretical framework. An online survey was the primary method of data collection. Pearson’s correlation and multiple linear regression were used for data analysis. This study found that both social influence and perceived safety of autonomous vehicle technology had significant, positive relationships with the intention to use autonomous vehicles. Additionally, a significant negative relationship was found among technophobia and intention to use autonomous vehicles. However, no relationship was found between the number of automobile-related accidents and intention to use autonomous vehicles. This study presents several original and significant findings as a contribution to the literature on autonomous vehicle technology adoption and proposes new dimensions of future research within this emerging field.

The impact of existential vulnerability for nursing home doctors in end-of-life care: A focus group study

2016 ◽  
Vol 99 (12) ◽  
pp. 2043-2048 ◽  
Author(s):  
Kristian Jansen ◽  
Sabine Ruths ◽  
Kirsti Malterud ◽  
Margrethe Aase Schaufel
Keyword(s):  
Nursing Home ◽  
Focus Group ◽  
End Of Life ◽  
End Of Life Care ◽  
Life Care ◽  
Focus Group Study ◽  
The Impact

scholarly journals Inpatients experiences about the impact of traumatic stress on eating behaviors: an exploratory focus group study

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Grethe Emilie Roer ◽  
Heidi Hurlen Solbakken ◽  
Dawit Shawel Abebe ◽  
Jan Olav Aaseth ◽  
Ingeborg Bolstad ◽  
...  
Keyword(s):  
Focus Group ◽  
Eating Behavior ◽  
Traumatic Stress ◽  
Eating Behaviors ◽  
Life Experiences ◽  
Traumatic Experiences ◽  
Psychiatric Clinic ◽  
Focus Group Study ◽  
After Effects ◽  
The Impact

Abstract Background Unhealthy changes in eating behavior among people experiencing trauma have been observed. There is, however, a lack of in-depth knowledge regarding the impact of the after effects of traumatic life experiences on eating behavior. Because eating behavior represents important components for promotion and maintenance of good health throughout life, this study aimed to explore inpatients’ lived experiences of the impact of traumatic stress on eating behavior. Method Thirteen female and two male inpatients (age range 28–62 years), recruited from a psychiatric clinic in Norway, participated in this qualitative explorative focus group study. The data analysis was performed using systematic text condensation. Results The results in the present study describe the participants’ experiences about the impact of traumatic stress on their eating behavior. Their discussions and descriptions disclosed problems that could be summarized into four main themes: “experiencing eating behaviors as coping strategies”; “experiencing being addicted to food and sweets”; “experiencing eating behaviors controlled by stress and emotions”; and “experiencing lack of appetite and reduced capacity to plan and prepare meals”. Conclusion Traumatic stress can impact eating behavior in several complex ways that over time may cause adverse health consequences. The results add to an important understanding of changes in eating behavior that might appear in people struggling to cope with the after effects of traumatic life experiences to the existing literature. To better understand the complexity of how traumatic experiences may impact eating behavior, this knowledge is important and useful for health professionals offering support to those who experience struggling with eating behavior after traumatic experiences.

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