scholarly journals A Survey to Understand Emotional Situations on the Road and What They Mean for Affective Automotive UIs

2018 ◽  
Vol 2 (4) ◽  
pp. 75 ◽  
Author(s):  
Michael Braun ◽  
Bastian Pfleging ◽  
Florian Alt
Keyword(s):  
Positive Emotions ◽  
Online Survey ◽  
Life Experiences ◽  
Negative Emotion ◽  
Real Life ◽  
Automated Driving ◽  
Negative Experiences ◽  
The Road ◽  
On The Road ◽  
Traffic Behavior

In this paper, we present the results of an online survey (N = 170) on emotional situations on the road. In particular, we asked potential early adopters to remember a situation where they felt either an intense positive or negative emotion while driving. Our research is motivated by imminent disruptions in the automotive sector due to automated driving and the accompanying switch to selling driving experiences over horsepower. This creates a need to focus on the driver’s emotion when designing in-car interfaces. As a result of our research, we present a set of propositions for affective car interfaces based on real-life experiences. With our work we aim to support the design of affective car interfaces and give designers a foundation to build upon. We find respondents often connect positive emotions with enjoying their independence, while negative experiences are associated mostly with traffic behavior. Participants who experienced negative situations wished for better information management and a higher degree of automation. Drivers with positive emotions generally wanted to experience the situation more genuinely, for example, by switching to a “back-to-basic” mode. We explore these statements and discuss recommendations for the design of affective interfaces in future cars.

scholarly journals Analysis of the advancements in real-life performance of highly automated vehicles' with regard to the road traffic safety

2018 ◽  
Vol 231 ◽  
pp. 05003 ◽  
Author(s):  
Arkadiusz Matysiak ◽  
Paula Razin
Keyword(s):  
Traffic Safety ◽  
Large Scale ◽  
Road Traffic ◽  
Real Life ◽  
Automated Vehicles ◽  
Automated Driving ◽  
The Road ◽  
Road Traffic Safety ◽  
On The Road ◽  
The Impact

The article presents the analysis of the performance of the vehicles equipped with automated driving systems (ADS) which were tested in real-life road conditions from 2015 to 2017 in the state of California. It aims at the effort to assess the impact on the road safety the continuous technological advancements in driving automation might have, based on of the first large-scale, real-life test deployments. Vehicle manufacturers and other stakeholders testing the highly automated vehicles in California are obliged to issue yearly reports which provide an insight on the test scale as well as the technology maturity. The so-called 'disengagement reports' highlight the range and number of control takeovers between the ADS and driver, which are made either based on driver's decision or information provided by the vehicle itself. The analysis of these reports allowed to investigate the development made in automated driving technology throughout the years of tests, as well as the direct or indirect influence of the external factors (e.g. various weather conditions) on the ADS performance. The results show that there is still a significant gap in reliability and safety between human drivers and highly automated vehicles which has been yet steadily decreasing due to technology advancements made while driving in the specific infrastructure and traffic conditions of California.

scholarly journals Behavioral Changes to Repeated Takeovers in Highly Automated Driving: Effects of the Takeover-Request Design and the Nondriving-Related Task Modality

2018 ◽  
Vol 61 (5) ◽  
pp. 839-849 ◽  
Author(s):  
Fabienne Roche ◽  
Anna Somieski ◽  
Stefan Brandenburg
Keyword(s):  
Subjective Experience ◽  
Vehicle Control ◽  
Behavioral Changes ◽  
Behavior Changes ◽  
Automated Driving ◽  
The Road ◽  
Gaze Patterns ◽  
On The Road ◽  
Task Modality ◽  
Highly Automated Driving

Objective: We investigated drivers’ behavior and subjective experience when repeatedly taking over their vehicles’ control depending on the design of the takeover request (TOR) and the modality of the nondriving-related task (NDRT). Background: Previous research has shown that taking over vehicle control after highly automated driving provides several problems for drivers. There is evidence that the TOR design and the NDRT modality may influence takeover behavior and that driver behavior changes with more experience. Method: Forty participants were requested to resume control of their simulated vehicle six times. The TOR design (auditory or visual-auditory) and the NDRT modality (auditory or visual) were varied. Drivers’ takeover behavior, gaze patterns, and subjective workload were recorded and analyzed. Results: Results suggest that drivers change their behavior to the repeated experience of takeover situations. An auditory TOR leads to safer takeover behavior than a visual-auditory TOR. And with an auditory TOR, the takeover behavior improves with experience. Engaging in the visually demanding NDRT leads to fewer gazes on the road than the auditory NDRT. Participants’ fixation duration on the road decreased over the three takeovers with the visually demanding NDRT. Conclusions: The results imply that (a) drivers change their behavior to repeated takeovers, (b) auditory TOR designs might be preferable over visual-auditory TOR designs, and (c) auditory demanding NDRTs allow drivers to focus more on the driving scene. Application: The results of the present study can be used to design TORs and determine allowed NDRTs in highly automated driving.

scholarly journals Dreaming about Dogs: An Online Survey

Animals ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 1915
Author(s):  
Michael Schredl ◽  
Christian Bailer ◽  
Muriel Sophie Weigel ◽  
Melina Sandra Welt
Keyword(s):  
Online Survey ◽  
Life Experiences ◽  
Continuity Hypothesis ◽  
Negative Experiences ◽  
Active Time ◽  
Dog Owners ◽  
Close Contacts

Dogs have been close human companions for millennia and one would expect—according to the continuity hypothesis of dreaming—that dogs are also quite common in dreams. Previous studies showed that the percentages of dreams that include dogs range from about 1.5% to 5%, but studies relating waking-life experiences with dogs with dreams about dogs have not been carried out. In total, 1695 persons (960 women, 735 men) completed an online survey that included questions about dreams and waking-life experiences that included dogs. The findings indicate that dogs show up, on average, in about 5% of remembered dreams, but this percentage is much higher in the dreams of dog owners and persons with close contacts with dogs. Moreover, the active time spent with a dog and the proximity during sleep is also related to a higher percentage of dreams that include dogs. Although dreams including dogs are on average more positively toned than dreams in general, about 11% of the dog dreams included threatening dogs. Persons who had negative experiences with dogs in their waking lives reported more threatening dog dreams. The results support the continuity hypothesis and it would be very interesting to conduct content analytic studies with dream samples obtained from dog owners to learn more about the variety of interactions between dreamers and dogs.

scholarly journals Design Method of ADAS for Urban Electric Vehicle Based on Virtual Prototyping

2018 ◽  
Vol 2018 ◽  
pp. 1-19 ◽  
Author(s):  
Katarzyna Jezierska-Krupa ◽  
Wojciech Skarka
Keyword(s):  
Design Method ◽  
Virtual Prototyping ◽  
Real Life ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Smart Power ◽  
The Road ◽  
Unique Method ◽  
On The Road ◽  
Positive Effect

Since 2012, the Smart Power Team has been actively participating in the Shell Eco-marathon, which is a worldwide competition. From the very beginning, the team has been working to increase driver’s safety on the road by developing Advanced Driver Assistance Systems. This paper presents unique method for designing ADAS systems in order to minimize the costs of the design phase and system implementation and, at the same time, to maximize the positive effect the system has on driver and vehicle safety. The described method is based on using virtual prototyping tool to simulate the system performance in real-life situations. This approach enabled an iterative design process, which resulted in reduction of errors with almost no prototyping and testing costs.

scholarly journals DETERMINATION OF MOST SIGNIFICANT FACTORS FOR ANALYSIS OF HIGHWAY OPERATING CONDITIONS

2017 ◽  
Vol 16 (6) ◽  
pp. 493-497
Author(s):  
M. G. Solodkaya
Keyword(s):  
Real Life ◽  
Operating Conditions ◽  
Dynamic Loads ◽  
Vehicle Speed ◽  
Vehicle Dynamic ◽  
The Road ◽  
Road Pavement ◽  
On The Road ◽  
Significant Factors ◽  
Road System

Traffic circulation on highways is a random process. Therefore automotive damage rate and, respectively, roads on which they are moving is subjected to regularities of random processes. Dynamic processes of vehicle-road interaction are determined to various extents by a host of factors that include road pavement evenness and characteristics of moving vehicles. For this reason the following task has been set: to reveal the most significant factors and mathematically correlate values of vehicle dynamic loads with a quality of road pavement and vehicle speed. Such task statement has not been solved adequately and this situation determines importance and novelty of the investigations in the given direction. While solving the mentioned task the investigations which have been carried out under real-life conditions and with the help of real-life objects are considered as the most reliable ones. However, preparation and execution of such experiments as needed significantly complicates their implementation. In this regard it looks rather expediential to combine a factorial experiment with the tests of a checked model while using ECM with stage-by-stage parameter fixation of working processes passing in “vehicle-road” system, comprehensive assessment pertaining to influence of the selected factors and selection of their optimum combination. Mathematical dependence has been obtained to evaluate influence of several external factors on optimization of vehicle dynamic load on the road. This component makes it possible to attain a simplified and adequate description of element interaction in “vehicle – road” system. While investigating influence of pavement irregularities on maximum dynamic loads on the road influence rate of the selected factors is determined in the following sequence: vehicle weight, pavement evenness and speed of transport facility.

Monte Carlo Analysis of Safe Following Distances Under Different Road Conditions

2003 ◽  
Author(s):  
Scott Kimbrough
Keyword(s):  
Probability Theory ◽  
Real Life ◽  
Monte Carlo Analysis ◽  
Reaction Rates ◽  
The Road ◽  
Lead Driver ◽  
Road Friction ◽  
On The Road ◽  
To Come ◽  
Lead Vehicle

In order to avoid accidents drivers must maintain an adequate amount of separating distance between themselves and vehicles in front of them. If the driver of the lead vehicle suddenly applies his brakes, the driver of the following vehicle needs sufficient time and space to react and apply his brakes to come to a stop. If all vehicles and drivers had the same brake performance, then the required separating distance would simply be the distance traveled while reacting; basically the product of the speed being traveled times the reaction time of the driver. This simple rule would guarantee that a following driver would be able to apply his brakes before arriving at the place on the road where the lead driver applied his brakes. In real life though, all vehicle and drivers do not have the same stopping performance. There are variations due to the different tires on the vehicles, the brake balance of the vehicles, the reaction rates of the drivers, the skills of the drivers, and the traction afforded by the particular wheel paths followed by the vehicles. One way to deal with these variations is to use probability theory [2–6]. In this paper probability theory is used to determine how following distance should vary as a function of speed, average road friction, and variation of the road friction, so that the probability of a collision remains below a desired threshold.

Bicycle Backlash: Qualitative Examination of Aggressive Driver–Bicyclist Interactions

2017 ◽  
Vol 2662 (1) ◽  
pp. 22-30 ◽  
Author(s):  
Daniel P. Piatkowski ◽  
Wesley Marshall ◽  
Aaron S. Johnson
Keyword(s):  
Online Survey ◽  
Initial Step ◽  
Sample Population ◽  
Aggressive Driving ◽  
Social Good ◽  
The Road ◽  
Altruistic Punishment ◽  
On The Road ◽  
Survey Responses ◽  
Aggressive Driver

This research investigated aggressive driver–bicyclist interactions. Individuals who identified themselves as both a driver and a bicyclist were asked about their behavior when they encountered a bicyclist on the road while they were driving a car. Open-ended survey responses were analyzed from individuals who reported a propensity for driving too closely to a bicyclist who they felt was not staying to the side of the road. The data were drawn from a snowball-sampled, online survey specifically targeted to elicit responses about rare (i.e., deviant or illegal) behaviors. Little research exists on why individuals would choose to intimidate a bicyclist while they were driving. Applicable theories from sociology and behavioral economics (i.e., theories of crime as social control and as altruistic punishment) were drawn on in this study to help understand why individuals might do so. This paper argues that aggressive driving behavior directed at bicyclists in the sample population could be characterized with two general themes: “teaching them a lesson” and “they had it coming.” In both cases, individuals deflected the blame for their aggressive behavior away from themselves. Instead, they cast themselves as serving a social good by teaching bicyclists how they should behave or by punishing bicyclists for behaving in ways with which the drivers disagreed. The study reported here was an initial step in an effort to identify testable hypotheses through qualitative methods to explain such behaviors and eventually to mitigate them. The intent is to inform actionable directions to address dangerous on-street interactions that act as barriers to a safe transportation system that accommodates all users.

Children’s and adolescents’ conceptions of personhood

2016 ◽  
Vol 41 (3) ◽  
pp. 350-359 ◽  
Author(s):  
Masha Komolova ◽  
Monisha Pasupathi ◽  
Cecilia Wainryb ◽  
Sarah Lucas
Keyword(s):  
Social Development ◽  
Life Experiences ◽  
Real Life ◽  
Negative Experience ◽  
Negative Experiences ◽  
Age Related ◽  
Simultaneous Use

Children’s and adolescents’ narratives of interpersonal experiences can inform our understanding of developmental shifts in the use of personhood concepts. We present results from two studies ( ns = 90, 112) with children aged five to 16 years. In the first study, children were asked to describe one positive and another negative experience with a friend, and in the second study, to describe a time when they were a victim and another time when they were a perpetrator of harm. Across both studies, results supported previous findings suggesting that psychological, relational, trait, and identity personhood conceptions become more prominent with age, whereas activity, physical, and material conceptions become less prominent with age. However, our results also revealed that, within the context of real-life experiences, psychological conceptions become evident at earlier ages than suggested by children’s responses to the structured tasks employed in previous research. In addition, we found age-related increases in the simultaneous use of psychological and relational conceptions of persons, especially in narratives of negative experiences. Findings are discussed in terms of their implications for social development.

scholarly journals A Qualitative Investigation into the Cultural Master Narrative for Overcoming Trauma and Adversity in the United Kingdom

2020 ◽  
Author(s):  
Laura Blackie ◽  
Jade Colgan ◽  
Stephanie McDonald ◽  
Kate C. McLean
Keyword(s):  
Online Survey ◽  
Meaning Making ◽  
Life Experiences ◽  
Master Narrative ◽  
Narrative Psychology ◽  
Negative Experiences ◽  
The United Kingdom ◽  
The Uk ◽  
And Function ◽  
Insight Into

Research in the field of narrative psychology has found that redemption – a narrative sequence in which people recount emotionally negative experiences as having positive endings – is a useful mechanism for coping with adversity. Redemption has been viewed as a cultural master narrative in North America, providing individuals with a socially valued script for narrating challenging life experiences. Presently little research has examined the presence and function of the redemption narrative outside of North American contexts. The aim of this qualitative study, therefore, was to identify themes in UK individuals’ narratives of trauma and adversity to gain insight into the content of the master narrative for meaning-making in the UK. Sixty-Five participants (57 females, Mage = 21.97, SD = 7.24) with little to no experience of lifetime adversity were recruited into an online survey. Participants answered open-ended questions adopting the perspective of a survivor from a selected UK national tragedy, focusing on how they felt survivors could recover from trauma. We identified two themes in our thematic analysis that were relevant to recovery: recuperation and redemption. Recuperation was most commonly reported, it was described as a gradual lessening of symptoms over time and the ability to cope with the lasting emotional and physical scars. Our findings suggest that redemption is not necessarily the dominant cultural script in the UK for guiding recovery in the aftermath of trauma.

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