Vehicle Automation Emergency Scenario: Using a Driving Simulator to Assess the Impact of Hand and Foot Placement on Reaction Time

2021 ◽  
Author(s):  
Helen S. Loeb ◽  
Elizabeth Vo-Phamhi ◽  
Thomas Seacrist ◽  
Jalaj Maheshwari ◽  
Christopher Yang
2021 ◽  
Author(s):  
Prashant Rajdeep ◽  
Lajja Patel ◽  
Steffy CD ◽  
Preeti Panchal

Abstract Objective- Attenuating post lockdown vehicular speed by employing visual reaction time as a tool to prime the citizens for creating decorum of driving and checking the road traffic fatalities.Background- It is indispensable to curb the driving speed post lockdown to avoid accidents. Even though, the impact of inactivity on RT has been well established, an insight into the new method can deal with the gross issue of road traffic casualty worldwide. Method- Using a web-based platform (http://physicsiology.com), quantification of post lockdown speed was achieved for 643 participants under average speed before lockdown and RT measurement. Results- Compared to pre lockdown vehicular speed, reduced post lockdown speed was well calculated and suggested. Also, there was a correlation between RT, age, and days of lockdown.Conclusions- Containment of speed can be achieved to prime people through RT. Additionally, RT can determine the rate of change of frequency (ROCOF) for detecting the swiftness of action (i.e., the brain's ability to deal with the transition between reaction times of different events) required for averting road traffic collisions. Compelling to suggest a need for a humanoid simulator that can garner real-time data.Application- Suggesting a fresh outlook for designing a contraption for a better appraisal of the fleet in driving skills, thus beaconing the course towards restraining road traffic fatalities


Author(s):  
Ying Wang ◽  
Xiang Guo ◽  
Yueyan Zhu ◽  
Jianqiao Zhang

With the increasing use of in-vehicle information system (IVIS), driver distraction, especially visual distraction, has increased dramatically. Evaluating the impact of IVIS on traffic safety is important. Previous studies have used various standard secondary-task methods in place of real IVIS interactions to obtain quantitative and scalable results. However, traditional visual secondary tasks, such as the Surrogate Reference Task (SuRT) and the Arrow Task, are insufficient to simulate incrementally increased workload with fine details or contrast difference. This study designed a new form of visual secondary task (Color Block Task, CoBT) that could provide appropriate difficulty, incremental complexity, and contrast option for visual distraction assessment. The validity of this method was tested in a driving simulator by analyzing the reaction time and accuracy of the CoBTs, the reaction time and accuracy of a Tactile Detection Response Task (TDRT), and drivers’ vehicle control performance. Results showed that CoBT is a valid tool to mock drivers’ in-vehicle visual demand. CoBT and TDRT performance can effectively distinguish the difficulty levels of CoBT and explain drivers’ attention allocation pattern to some extent.


Author(s):  
J. Jbilou ◽  
A. El Bouazaoui ◽  
B. Zhang ◽  
J.L. Henry ◽  
L McDonald ◽  
...  

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.


Information ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 13
Author(s):  
Thierry Bellet ◽  
Aurélie Banet ◽  
Marie Petiot ◽  
Bertrand Richard ◽  
Joshua Quick

This article is about the Human-Centered Design (HCD), development and evaluation of an Artificial Intelligence (AI) algorithm aiming to support an adaptive management of Human-Machine Transition (HMT) between car drivers and vehicle automation. The general principle of this algorithm is to monitor (1) the drivers’ behaviors and (2) the situational criticality to manage in real time the Human-Machine Interactions (HMI). This Human-Centered AI (HCAI) approach was designed from real drivers’ needs, difficulties and errors observed at the wheel of an instrumented car. Then, the HCAI algorithm was integrated into demonstrators of Advanced Driving Aid Systems (ADAS) implemented on a driving simulator (dedicated to highway driving or to urban intersection crossing). Finally, user tests were carried out to support their evaluation from the end-users point of view. Thirty participants were invited to practically experience these ADAS supported by the HCAI algorithm. To increase the scope of this evaluation, driving simulator experiments were implemented among three groups of 10 participants, corresponding to three highly contrasted profiles of end-users, having respectively a positive, neutral or reluctant attitude towards vehicle automation. After having introduced the research context and presented the HCAI algorithm designed to contextually manage HMT with vehicle automation, the main results collected among these three profiles of future potential end users are presented. In brief, main findings confirm the efficiency and the effectiveness of the HCAI algorithm, its benefits regarding drivers’ satisfaction, and the high levels of acceptance, perceived utility, usability and attractiveness of this new type of “adaptive vehicle automation”.


Author(s):  
Marko Mihalec ◽  
Jingang Yi

This paper presents a simple inverted pendulum gait model to study walking under slip conditions. The model allows for both the horizontal and vertical movements of the center of mass during normal walking and walking gaits with foot slip. Stability of the system is analyzed using the concept of capturability. Considering foot placement as a control input, we obtain the stable regions which lead to stable gait. The size of those stable regions is used to evaluate the effect of the coefficient of friction and the slip reaction time on capturability. We also analyze the feasibility of recovery from slip gait in relation to the coefficient of friction and the reaction time. The results confirm the effectiveness of the model and the capturability developement.


2009 ◽  
Vol 23 (1) ◽  
pp. 59-76 ◽  
Author(s):  
Daniel T. Bishop ◽  
Costas I. Karageorghis ◽  
Noel P. Kinrade

The main objective of the current study was to examine the impact of musically induced emotions on athletes’ subsequent choice reaction time (CRT) performance. A random sample of 54 tennis players listened to researcher-selected music whose tempo and intensity were modified to yield six different music excerpts (three tempi × two intensities) before completing a CRT task. Affective responses, heart rate (HR), and RTs for each condition were contrasted with white noise and silence conditions. As predicted, faster music tempi elicited more pleasant and aroused emotional states; and higher music intensity yielded both higher arousal (p < .001) and faster subsequent CRT performance (p < .001). White noise was judged significantly less pleasant than all experimental conditions (p < .001); and silence was significantly less arousing than all but one experimental condition (p < .001). The implications for athletes’ use of music as part of a preevent routine when preparing for reactive tasks are discussed.


2021 ◽  
Vol 13 (10) ◽  
pp. 245
Author(s):  
Evgeny Nikulchev ◽  
Dmitry Ilin ◽  
Pavel Kolyasnikov ◽  
Shamil Magomedov ◽  
Anna Alexeenko ◽  
...  

Web surveys are an integral part of the feedback of Internet services, a research tool for respondents, including in the field of health and psychology. Web technologies allow conducting research on large samples. For mental health, an important metric is reaction time in cognitive tests and in answering questions. The use of mobile devices such as smartphones and tablets has increased markedly in web surveys, so the impact of device types and operating systems needs to be investigated. This article proposes an architectural solution aimed at reducing the effect of device variability on the results of cognitive psychological experiments. An experiment was carried out to formulate the requirements for software and hardware. Three groups of 1000 respondents were considered, corresponding to three types of computers and operating systems: Mobile Device, Legacy PC, and Modern PC. The results obtained showed a slight bias in the estimates for each group. It is noticed that the error for a group of devices differs both upward and downward for various tasks in a psychological experiment. Thus, for cognitive tests, in which the reaction time is critical, an architectural solution was synthesized for conducting psychological research in a web browser. The proposed architectural solution considers the characteristics of the device used by participants to undergo research in the web platform and allows to restrict access from devices that do not meet the specified criteria.


2005 ◽  
Author(s):  
Thomas D Marcotte ◽  
Theodore J Rosenthal ◽  
Jody Corey-Bloom ◽  
Erica Roberts ◽  
Sara Lampinen ◽  
...  

2017 ◽  
Vol 8 (1) ◽  
pp. 108-129
Author(s):  
Nur Khairiel Anuar ◽  
Romano Pagliari ◽  
Richard Moxon

The purpose of this study was to investigate the impact of different wayfinding provision on senior driving behaviour and road safety. A car driving simulator was used to model scenarios of differing wayfinding complexity and road design. Three scenario types were designed consisting of 3.8 miles of airport road. Wayfinding complexity varied due to differing levels of road-side furniture. Experienced car drivers were asked to drive simulated routes. Forty drivers in the age ranges: 50 to 54, 55 to 59 and those aged over 60 were selected to perform the study. Participants drove for approximately 20 minutes to complete the simulated driving. The driver performance was compared between age groups. Results were analysed by Mean, Standard Deviation and ANOVA Test, and discussed with reference to the use of the driving simulator. The ANOVA confirmed that age group has a correlation between road design complexity, driving behaviour and driving errors.


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