Psychomotor Performance Monitoring System in the Context of Fatigue and Accident Prevention

AbstractPerfecting modern design of technical objects highlights the long-known truth that the human is the most unreliable link in the human-technical object system. However, this is a superficial finding not taking into account the root cause of human error – non-ergonomic working conditions. The desire to improve this situation by increasingly including ergonomic requirements, such as in the design of equipment interfaces, brings significant results. Suitable reduction of fatigue of varying nature, in many cases leads to a reduction in the number of errors among equipment operators. The system model assumes the possibility of a verification of psychomotor status in the workplace directly on the job, not relying on the test results to resume work and only allowing the diagnosis of an undesirable condition. The model is based on, among others, Fitts’ Law. The testing software is a form of web application. Each user has an account on which the results are collected and form the basis for drawing conclusions about the state of fatigue. It is necessary therefore to assume that for dedicated positions there is no risk of distraction by the need for an additional device. Time spent on the task cannot be reduced by the tasks resulting from work. The paradigmatic example of the application of this method can be demonstrated in a study of urban transport vehicles before leaving the initial stop. A study of psychomotor skills can be used as an alternative to the fairly common in some countries testing of alcohol content in exhaled air. There are also breathalyzers integrated in such a way with control of the vehicle, that it is only after the verification of sobriety that one can start the vehicle. There are also no reasons that this check cannot warrant a short psychomotor test

Effectiveness of Students’ Vocabulary Mastery Using the Comic “Donald Duck” in Junior High School

This research was focused on investigating the effectiveness of students' vocabulary mastery using the comic "Donald Duck" for 7th-grade students in SMP N 25 Semarang. This research aimed to compare the findings of students' vocabulary mastery before and after being taught Donald Duck comic media and to see if there was a significant difference in student achievement in their vocabulary mastery taught before and after using Donald Duck comic media. This research used a quasi-experimental design with two classes: experimental and control. This study's population consisted of 261 students in the seventh grade at SMP N 25 Semarang, and the sample consisted of 64 students from two classes, VIG and VID. Data was collected by giving a pre-test and a post-test and then analyzed in the SPSS program using the t-test formula. The analysis results show that students not taught to use comics have a "poor" ability, as seen from their post-test average score of 60.13. Students taught to use comics had "good" abilities, as seen from their post-test average score of 75.50. So, a t-test of 13,054 is obtained with a t-table of 2,042 at a significance level of 5%. It can be concluded that the t-test is higher than the t-table (13.054>2.042). This shows that there is a significant difference in vocabulary mastery between students who are taught using Donald Duck comics and those who are not taught using Donald Duck comics. This means the alternative hypothesis (Ha) is accepted, and the null hypothesis (Ho) is rejected. Learning vocabulary mastery using Donald Duck comics is effective

Defining, measuring, and modeling passenger's in-vehicle experience and acceptance of automated vehicles

Automated vehicle acceptance (AVA) has been measured mostly subjectively by questionnaires and interviews, with a main focus on drivers inside automated vehicles (AVs). To ensure that AVs are widely accepted by the public, ensuring the acceptance by both drivers and passengers is key. The in-vehicle experience of passengers will determine the extent to which AVs will be accepted by passengers. A comprehensive understanding of potential assessment methods to measure the passenger experience in AVs is needed to improve the in-vehicle experience of passengers and thereby the acceptance. The present work provides an overview of assessment methods that were used to measure a driver's behavior, and cognitive and emotional states during (automated) driving. The results of the review have shown that these assessment methods can be classified by type of data-collection method (e.g., questionnaires, interviews, direct input devices, sensors), object of their measurement (i.e., perception, behavior, state), time of measurement, and degree of objectivity of the data collected. A conceptual model synthesizes the results of the literature review, formulating relationships between the factors constituting the in-vehicle experience and AVA acceptance. It is theorized that the in-vehicle experience influences the intention to use, with intention to use serving as predictor of actual use. The model also formulates relationships between actual use and well-being. A combined approach of using both subjective and objective assessment methods is needed to provide more accurate estimates for AVA, and advance the uptake and use of AVs.Comment: 22 pages, 1 figur