A Validated Rating Scale for Global Mental Workload Measurement Applications

1983 ◽  
Vol 27 (2) ◽  
pp. 129-133 ◽  
Author(s):  
Walter W. Wierwille ◽  
John G. Casali
Keyword(s):  
Decision Tree ◽  
Rating Scale ◽  
Mental Workload ◽  
Human Operator ◽  
Point Scale ◽  
Motor Tasks ◽  
Handling Qualities ◽  
Workload Measurement

The Cooper-Harper (1969) scale has been extensively used for evaluation of aircraft handling qualities and associated mental workload. The scale is a 10-point scale with a decision tree. A modified version of the scale, called the MCH scale, has been devised for the purpose of assessing workload in systems other than those where the human operator performs motor tasks; namely, where perceptual, mediational, and communications activity is present. The MCH scale has been validated in three different experiments. The scale is recommended for applications in which overall mental workload is to be assessed.

Rating Delinquent Behavior

1970 ◽  
Vol 27 (1) ◽  
pp. 155-158 ◽  
Author(s):  
James F. Hooke
Keyword(s):  
Juvenile Offenders ◽  
Rating Scale ◽  
Delinquent Behavior ◽  
The Other ◽  
Point Scale ◽  
Two Systems

This study questions the utility of classifying all juvenile offenders under the single rubric of “delinquent.” It presents two systems for classifying offenders according to the delinquent act. The first is a rating scale for severity. Correlations among the ratings of 13 judges ranged from .56 to 93, with a mean of .77. 10 judges rated direction of aggression—against people, against property, general asocial. The percentages of items on which each judge agreed with each of the other judges ranged from 70 to 97. 34 offenses were rated, and a 9- and a 5-point scale of severity are presented.

scholarly journals ANALYSIS OF DETERMINATION THE NUMBER PERSONNEL BASED ON WORKLOAD ACCORDING TO JOB DESCRIPTION (STUDY CASE IN ACCOUNTING INSTITUTIONS)

JOURNAL ASRO ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 34
Author(s):  
Ahmadi Ahmadi ◽  
Wahyu Endriyanto ◽  
Benny Sukandari ◽  
Agus Makhrowi
Keyword(s):  
Mental Workload ◽  
Optimal Number ◽  
Physical Workload ◽  
Job Description ◽  
Workload Analysis ◽  
Task Load ◽  
Workload Measurement ◽  
Measurement Analysis ◽  
Nasa Tlx

The workload is highly related to efficient and effective human resource utilization in an organization to achieve organizational objectives, vision, and mission. Various methods are used to optimize the number of personnel in an organization so that each task can be completed quickly and precisely. Accounting Institutions are inseparable from problems regarding the lack of workload with the number of personnel working on it. The change of the Policy gives an impact on the change of Job Description and List of Personnel Arrangements of the organization. To overcome these issues, workload measurement, analysis can be used to determine the optimal amount of personnel required in their working units. This study uses a mental workload measurement so called NASA-TLX and physical workload measurement According to the applicable workload regulation that is in accordance with the Administrative Direction of Workload Analysis. Both methods are then carried out to be compared to each other. The results showed that the physical workload is required in the completion of tasks in each work unit. In addition, the determination of the optimal number of personnel using physical workload or appropriate tasks per task position based Job Description is performed. As a result, it is known that there is an excessive workload in the Sub Service Budget Cost work units with personal shortcomings. On the other hand, there is an excessive personnel number in Administrative Work, Sub Department of Finance Administration and Sub Department Financial Control. The overall conclusion of this study is a need for personnel reduction in a List of Personnel Arrangements currently known as Accounting Institutions to be 39 personnel instead of the existing 48 personnel.  Keywords: Workload, NASA-TLX (Task Load Index), assignments Per Task title, Number of Optimal personnel

scholarly journals ALLOCATION OF MARITIME TASK FORCE PERSONNEL UNIFIL CONTINGEN BASED ON ANALYSIS WORK LOADS

JOURNAL ASRO ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 11
Author(s):  
Ahmadi Ahmadi ◽  
Okol Sri Suharyo ◽  
Arimbo Arimbo ◽  
Aab Abdul Wahab
Keyword(s):  
Task Force ◽  
Mental Workload ◽  
Physical Workload ◽  
Index Number ◽  
Task Load ◽  
Workload Measurement ◽  
Physical Burden ◽  
Nasa Tlx ◽  
The Right

The workload of an organization is related to the efficient and effective utilization of human resources so that it can realize the vision, mission and objectives of the organization. Various methods are used to optimize the number of personnel in an organization, so that each task can be completed effectively and efficiently. KRI Diponegoro-365 personnel as the TNI Maritime Task Force, the Garuda Contingent can not be separated from the problems regarding the lack of conformity to workload with the allocation of the number of available personnel. To overcome this, an analysis of workload measurement is needed which can then be used for determine the allocation of the right number of personnel needed in each division. This study uses the measurement of NASA-TLX mental workload and physical workload according to TNI Roles. Both of these methods are then compared between mental and physical burden that occurs. From the results of the comparison, it was found that physical workload is needed in the completion of tasks in each division. After a comparison, then the determination of the allocation of the number of personnel will be carried out using the physical workload approach based on the description of the tasks in each division. The results of the calculation will then show the division that has excess or lack of personnel. The overall results obtained from this study can be concluded that the number of maritime task force personnel using the Diponegoro class KRI is appropriate, but the allocation of personnel in each division needs to adjust to the existing workload.  Keywords: Workload, NASA-TLX (Task Load Index), Number of Military Personnel

Evaluating control activity as a measure of workload in flight test

2005 ◽  
Vol 49 (1) ◽  
pp. 64-67
Author(s):  
S. Jennings ◽  
G. Craig ◽  
Stephan Carignan ◽  
Kris Ellis ◽  
D. Thorndycraft Qinetiq
Keyword(s):  
Flight Test ◽  
Measurement Tool ◽  
Control Activity ◽  
Handling Qualities ◽  
Subjective Workload ◽  
Workload Measurement ◽  
Dynamic Interface ◽  
Interface Modeling ◽  
Short Test ◽  
Cyclic Control

This paper describes an investigation of a workload measurement technique based on pilot control movements. The Dynamic Interface Modeling and Simulation System Product Metric (DIMSS PM) assumes that pilot control activity can be used to evaluate pilot workload. Three qualified test pilots flew the fly-bywire NRC Bell 205 helicopter in a short test program that compared the DIMSS PM with subjective workload ratings and handling qualities ratings. The pilots performed a variation of an ADS-33E bob-up with varying levels of simulated turbulence and modified cyclic control characteristics. Good agreement was found for most in-flight test conditions between DIMSS Workload Metric scores and subjective workload ratings from the Bedford Workload Scale and Cooper-Harper handling qualities ratings. While, the DIMSS Workload Metric did not accurately reflect workload increases due to variations in the cyclic stick characteristics, the metric shows promise as an objective measurement tool of pilot workload in well-defined tests.

scholarly journals Classifying the Level of Energy-Environmental Efficiency Rating of Brazilian Ethanol

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2067
Author(s):  
Nilsa Duarte da Silva Lima ◽  
Irenilza de Alencar Nääs ◽  
João Gilberto Mendes dos Reis ◽  
Raquel Baracat Tosi Rodrigues da Silva
Keyword(s):  
Decision Tree ◽  
High Efficiency ◽  
Rating Scale ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Environmental Efficiency ◽  
Classification Model ◽  
Bayes Algorithm ◽  
J48 Decision Tree

The present study aimed to assess and classify energy-environmental efficiency levels to reduce greenhouse gas emissions in the production, commercialization, and use of biofuels certified by the Brazilian National Biofuel Policy (RenovaBio). The parameters of the level of energy-environmental efficiency were standardized and categorized according to the Energy-Environmental Efficiency Rating (E-EER). The rating scale varied between lower efficiency (D) and high efficiency + (highest efficiency A+). The classification method with the J48 decision tree and naive Bayes algorithms was used to predict the models. The classification of the E-EER scores using a decision tree using the J48 algorithm and Bayesian classifiers using the naive Bayes algorithm produced decision tree models efficient at estimating the efficiency level of Brazilian ethanol producers and importers certified by the RenovaBio. The rules generated by the models can assess the level classes (efficiency scores) according to the scale discretized into high efficiency (Classification A), average efficiency (Classification B), and standard efficiency (Classification C). These results might generate an ethanol energy-environmental efficiency label for the end consumers and resellers of the product, to assist in making a purchase decision concerning its performance. The best classification model was naive Bayes, compared to the J48 decision tree. The classification of the Energy Efficiency Note levels using the naive Bayes algorithm produced a model capable of estimating the efficiency level of Brazilian ethanol to create labels.

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