Wyniki wyszukiwania - BazTech

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Heart rate variability based assessment of cognitive workload in smart operators

Digiesi Salvatore, Manghisi Vito M., Facchini Francesco, Klose Elisa M., Foglia Mario M., Mummolo Carlotta

Management and Production Engineering Review

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2020

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Vol. 11, No. 3

56--64

EN

The study on cognitive workload is a field of research of high interest in the digital society. The implementation of ‘Industry 4.0’ paradigm asks the smart operators in the digital factory to accomplish more ‘cognitive-oriented’ than ‘physical-oriented’ tasks. The Authors propose an analytical model in the information theory framework to estimate the cognitive workload of operators. In the model, subjective and physiological measures are adopted to measure the work load. The former refers to NASA-TLX test expressing subjective perceived work load. The latter adopts Heart Rate Variability (HRV) of individuals as an objective indirect measure of the work load. Subjective and physiological measures have been obtained by experiments on a sample subjects. Subjects were asked to accomplish standardized tasks with different cognitive loads according to the ‘n-back’ test procedure defined in literature. Results obtained showed potentialities and limits of the analytical model proposed as well as of the experimental subjective and physiological measures adopted. Research findings pave the way for future developments.

2

Analysis of the attention distraction of inexperienced drivers using a fuzzy model - research results

Kruszewski Mikołaj, Nader Mirosław

Prace Naukowe Politechniki Warszawskiej. Transport

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2019

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z. 125

53--62

EN

Limiting the number and consequences of the traffic accidents is one of the most important goals of the EU policy for the road transport. Despite significant efforts in this area, the targets set for the 2010-2020 decade are unlikely to be achieved. This may be due to, inter alia, the increasing importance of the driver attention distraction as a factor contributing to their occurrence. In order to limit the effects of distraction, attempts are made to develop a method to detect such a state of a driver. The distraction of the driver affects the way he drives the vehicle. The authors in their earlier work conducted a research aimed at developing model for detecting states of distraction of the driver's attention, based on a change in the method of vehicle steering. The developed model uses fuzzy logic to detect distraction. This paper presents the results of this model's operation on a sample of 72 drivers, including 36 inexperienced drivers who were the main object of the tests.

PL

Ograniczenie liczby i skutków wypadków w ruchu drogowym jest jednym z najważniejszych celów polityki UE. Pomimo znaczących wysiłków w tej dziedzinie, cele założone na dekadę 2010-2020 prawdopodobnie nie zostaną osiągnięte. Może być to spowodowane m.in. przez wzrost znaczenia rozproszenia uwagi kierowcy, jako czynnika przyczyniającego się do ich powstawania. W celu ograniczenia skutków rozproszenia uwagi podejmowane są próby opracowania metody wykrywania takiego stanu kierowcy. Rozproszenie uwagi kierowcy wpływa bowiem na sposób sterowania przez niego pojazdem. Autorzy we wcześniejszych pracach przeprowadzili badania mające na celu opracowanie modelu wykrywania stanów rozproszenia uwagi kierowcy, bazujący na zmianach w sposobie sterowania pojazdem. Model opracowano ze szczególnym uwzględnieniem kierowców niedoświadczonych i wykorzystuje on logikę rozmytą do wykrywania tych stanów. W artykule przedstawiono wyniki działania modelu, dla próby 72 uczestników badań, spośród których 36 osób było kierowcami niedoświadczonymi.

3

Estimation of student understandings from pulse wave changes caused byload in preparatory

Hagihara A., Shimakawa H., Kajiwara Y.

Annals of Computer Science and Information Systems

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2018

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Vol. 16

3--8

EN

We propose a method to estimate whether student hold knowledge on the contents and tasks of the class, using cognitive load and mental load. We estimate the cognitive load of the student using a pulse wave and the pulse change.The mental load can be estimated from the activity of the autonomic nerve. In order to clarify student knowledge on course contents, we estimate student schemata from the load on the student.We conducted an experiment, preparing 2 kinds of tasks; S1 task can be answered with student schemata, while S2 task cannot be answered with student schema. Through the experiment using the proposed method, we classified tasks given to students into S1 tasks and S2 tasks.It was possible to estimate the student schemata from the standard deviation of the heart rate.This method makes it possible to figure out student understanding earlier than traditional knowledge measurement method.

4

Pilot Study over Secondary Task Cognitive Workload Induced on Drivers in AS 1200-6 Simulator

Kruszewski M., Niezgoda M., Kamiński T., Matysiak A., Nader M.

Logistics and Transport

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2017

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Vol. 36, No. 4

69--78

EN

Modern cars are more and more frequently equipped not only with the driver assisting systems, but also with multimedia devices allowing to track the information, use the Internet or send and receive e-mails. This type of activity can cause dangerous situations by inducing various forms of distraction to the driver. In order to identify the effects caused by performing additional tasks while driving, two types of secondary tasks were proposed. The following article presents the results of a pilot study that uses two additional tasks to induce the driver with cognitive load not related to driving. At the same time, in the course of the experiment, both the driving performance and the quality of performing additional tasks were observed. The article describes selected results of the conducted study.