scholarly journals The Impact of Cognitive Distraction on Driver Perception Response Time Under Different Levels of Situational Urgency

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 184572-184580 ◽  
Author(s):  
Zhi Zhang ◽  
Yingshi Guo ◽  
Wei Yuan ◽  
Chang Wang
Author(s):  
Maria Giulia Ballatore ◽  
Ettore Felisatti ◽  
Laura Montanaro ◽  
Anita Tabacco

This paper is aimed to describe and critically analyze the so-called "TEACHPOT" experience (POT: Provide Opportunities in Teaching) performed during the last few years at Politecnico di Torino. Due to career criteria, the effort and the time lecturers spend in teaching have currently undergone a significant reduction in quantity. In order to support and meet each lecturers' expectations towards an improvement in their ability to teach, a mix of training opportunities has been provided. This consists of an extremely wide variety of experiences, tools, relationships, from which everyone can feel inspired to increase the effectiveness of their teaching and the participation of their students. The provided activities are designed around three main components: methodological training, teaching technologies, methodological experiences. A discussion on the findings is included and presented basing on the data collected through a survey. The impact of the overall experience can be evaluated on two different levels: the real effect on redesigning lessons, and the discussion on the matter within the entire academic community.


Author(s):  
Yosra Makni Fourati ◽  
Rania Chakroun Ghorbel

This study aims to examine the consequences of International Financial Reporting Standards (IFRS) convergence in an emerging market. More specifically, we investigate whether the adoption of the new set of accounting standards in Malaysia is associated with lower earnings management. Using a sample of 3,340 firm-year observations across three reporting periods with different levels of IFRS adoption, we provide evidence that IFRS convergence improves earning quality. In particular, we find a significant decrease in the absolute value of discretionary acccruals in the partial IFRS-convergence period (2007-2011), whereas this effect is restrictive after the complete IFRS- implementation.


2021 ◽  
Vol 10 (2) ◽  
pp. 34
Author(s):  
Alessio Botta ◽  
Jonathan Cacace ◽  
Riccardo De Vivo ◽  
Bruno Siciliano ◽  
Giorgio Ventre

With the advances in networking technologies, robots can use the almost unlimited resources of large data centers, overcoming the severe limitations imposed by onboard resources: this is the vision of Cloud Robotics. In this context, we present DewROS, a framework based on the Robot Operating System (ROS) which embodies the three-layer, Dew-Robotics architecture, where computation and storage can be distributed among the robot, the network devices close to it, and the Cloud. After presenting the design and implementation of DewROS, we show its application in a real use-case called SHERPA, which foresees a mixed ground and aerial robotic platform for search and rescue in an alpine environment. We used DewROS to analyze the video acquired by the drones in the Cloud and quickly spot signs of human beings in danger. We perform a wide experimental evaluation using different network technologies and Cloud services from Google and Amazon. We evaluated the impact of several variables on the performance of the system. Our results show that, for example, the video length has a minimal impact on the response time with respect to the video size. In addition, we show that the response time depends on the Round Trip Time (RTT) of the network connection when the video is already loaded into the Cloud provider side. Finally, we present a model of the annotation time that considers the RTT of the connection used to reach the Cloud, discussing results and insights into how to improve current Cloud Robotics applications.


Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4663
Author(s):  
Janaina Cavalcanti ◽  
Victor Valls ◽  
Manuel Contero ◽  
David Fonseca

An effective warning attracts attention, elicits knowledge, and enables compliance behavior. Game mechanics, which are directly linked to human desires, stand out as training, evaluation, and improvement tools. Immersive virtual reality (VR) facilitates training without risk to participants, evaluates the impact of an incorrect action/decision, and creates a smart training environment. The present study analyzes the user experience in a gamified virtual environment of risks using the HTC Vive head-mounted display. The game was developed in the Unreal game engine and consisted of a walk-through maze composed of evident dangers and different signaling variables while user action data were recorded. To demonstrate which aspects provide better interaction, experience, perception and memory, three different warning configurations (dynamic, static and smart) and two different levels of danger (low and high) were presented. To properly assess the impact of the experience, we conducted a survey about personality and knowledge before and after using the game. We proceeded with the qualitative approach by using questions in a bipolar laddering assessment that was compared with the recorded data during the game. The findings indicate that when users are engaged in VR, they tend to test the consequences of their actions rather than maintaining safety. The results also reveal that textual signal variables are not accessed when users are faced with the stress factor of time. Progress is needed in implementing new technologies for warnings and advance notifications to improve the evaluation of human behavior in virtual environments of high-risk surroundings.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Jonatan Almagor ◽  
Stefano Picascia

AbstractA contact-tracing strategy has been deemed necessary to contain the spread of COVID-19 following the relaxation of lockdown measures. Using an agent-based model, we explore one of the technology-based strategies proposed, a contact-tracing smartphone app. The model simulates the spread of COVID-19 in a population of agents on an urban scale. Agents are heterogeneous in their characteristics and are linked in a multi-layered network representing the social structure—including households, friendships, employment and schools. We explore the interplay of various adoption rates of the contact-tracing app, different levels of testing capacity, and behavioural factors to assess the impact on the epidemic. Results suggest that a contact tracing app can contribute substantially to reducing infection rates in the population when accompanied by a sufficient testing capacity or when the testing policy prioritises symptomatic cases. As user rate increases, prevalence of infection decreases. With that, when symptomatic cases are not prioritised for testing, a high rate of app users can generate an extensive increase in the demand for testing, which, if not met with adequate supply, may render the app counterproductive. This points to the crucial role of an efficient testing policy and the necessity to upscale testing capacity.


Author(s):  
Iwona Niewiadomska ◽  
Rafał P. Bartczuk ◽  
Joanna Chwaszcz ◽  
Stanisław Fel ◽  
Weronika Augustynowicz ◽  
...  

Abstract This article explores the question, to what degree religiosity contributes, as a protecting factor against a broad category of socially deviant adolescent and youth behaviours. It also tests the hypothesis that gender plays a moderating role in the relationship between religiosity and problem behaviour. It employs a modified version of the Problem Behaviour Syndrome Measure (PBSM), in concert with Jessor and Jessor’s conceptual work. It also makes use of the Duke Religion Index (DUREL) to assess religiosity. The empirical study deals with a representative group of 960 students of upper-secondary schools in the Lubelskie province, Poland. The results were analyzed using canonical analysis and ANOVA. The achievements of the article are twofold. First, it identifies significant correlations between the different levels of religiosity among youth, and the occurrence and intensification of problem behaviours, particularly in regard to organized activity. Organized and intrinsic religiosity play principal protective roles, while the impact of personal religious practices is less significant. Secondly, while analyzing the moderating role of gender in the relationship between religiosity and the intensity of problem behaviour, it was found that gender does not have a significant interactive impact. An affirmative conclusion was confirmed in only two instances.


2003 ◽  
Vol 5 (2) ◽  
pp. 128-149 ◽  
Author(s):  
Susan Kuivalainen

This article analyses the importance of housing costs in cross-national comparisons of social assistance. The article explores the model family technique, the most commonly used method of comparing levels of support, and analyses the impact of housing costs on outcomes. The importance of housing costs is assessed by using different definitions of disposable income, by comparing the level of social assistance without, before and after housing costs. Three different rent levels are specified in order to evaluate the impact of housing costs and seven different family types are considered in the analysis. The countries used for comparison are Denmark, Finland, the Netherlands, Sweden, and the United Kingdom, during the late 1990s. The findings show that housing costs have an impact on outcomes in social assistance: when housing costs are disregarded, the differences between countries are greater. The outcomes vary with different calculations of disposable income: the relative value of assistance between countries and families varies, and the ranking of countries is also altered. Different levels of housing costs have a similar impact, showing changes in the relative position of countries. Overall the findings show that taking housing costs into account makes a difference.


2015 ◽  
Vol 24 (04) ◽  
pp. 1550053
Author(s):  
Lobna I'msaddak ◽  
Dalenda Ben Issa ◽  
Abdennaceur Kachouri ◽  
Mounir Samet ◽  
Hekmet Samet

This paper presents the design of C-CNTFET oscillator's arrays for infrared 'IR' technology. These arrays are contained by both of the LC-tank and the voltage control 'coupled N- and P-type C-CNTFET LC-tank' oscillators. In this paper, the analysis of the impact of CNT diameter variations and the nonlinear capacitances (C GD and C GS ) were introduced, especially on propagation time, oscillation frequency and power consumption. The C-CNTFET inverter, ring oscillator, LC-tank and coupled N- and P-type C-CNTFET LC-tank oscillator structures were designed and their speeding and performances have been investigated with the proposed n-type of C-CNTFET model supplied by a 0.5 V power voltage. Simulation results show that the n- and p-types LC-tank oscillator circuit designs achieved an approximately equal oscillation frequency, response time and power consumption. Whereas the coupled N- and P-type C-CNTFET LC-tank oscillator has the lowest power consumption equal to 0.13 μW, the highest oscillation frequency (10.08 THz) and the fastest response time (1.81 ps).


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