Sensitive, Diagnostic and Multifaceted Mental Workload Classifier (PHYSIOPRINT)

2015 ◽  
pp. 101-111 ◽  
Author(s):  
Djordje Popovic ◽  
Maja Stikic ◽  
Theodore Rosenthal ◽  
David Klyde ◽  
Thomas Schnell
Keyword(s):  
Mental Workload

How a new instrument affects pilots' mental workload

1982 ◽  
Author(s):  
Randall L. Harris ◽  
John R. Tole ◽  
Arye R. Ephrath ◽  
A. Thomas Stephens
Keyword(s):  
Mental Workload ◽  
New Instrument

Predicting operator mental workload using a time-based algorithm

2010 ◽  
Author(s):  
Wenbi Wang ◽  
Brad Cain ◽  
Xiao Long Lu
Keyword(s):  
Mental Workload

Mental Workload Measure

2020 ◽  
Author(s):  
Edith Galy
Keyword(s):  
Mental Workload

Evaluation of Mental Workload on Repetitive Handwriting Process

2012 ◽  
Vol 132 (10) ◽  
pp. 878-885 ◽  
Author(s):  
Masafumi Uchida ◽  
Asami Matsutani ◽  
Akio Nozawa
Keyword(s):  
Mental Workload

GAMBARAN BEBAN KERJA MENTAL PADA DOSEN FAKULTAS X UNIVERSITAS X

2019 ◽  
Vol 2 (3) ◽  
Author(s):  
Kartiani Dewi ◽  
Suryani S ◽  
Ahmad Yamin
Keyword(s):  
Community Service ◽  
Mental Workload ◽  
Sampling Technique ◽  
Mean Value ◽  
Descriptive Statistics ◽  
Large Contribution ◽  
Mean Dimension ◽  
The Mean ◽  
Quantitative Descriptive ◽  
University Lecturers

Lecturers are responsible for implementing the three main responsibilities in university (Tridharma Perguruan Tinggi) with 12 credits to 16 credits each semester. However, many lecturers feel that the workload is very excessive. The purpose of this study was to describe the mental workload of lecturers at the Faculty of X Padjadjaran University. The method of this research was quantitative descriptive by using a total sampling technique involving 43 lecturers. Data collection used NASA-TLX instruments. Data were analysed using descriptive statistics. The results of the study showed that overall the mental workload of the Faculty of X Padjadjaran University lecturers was included in the high category both in education and teaching assignments (74.4%), research assignments (76.7%), and community service assignments (74.4%). ) Effort dimensions have the highest mean value that is equal to 51.8, while the dimensions that have the lowest mean are Perfomance dimension, namely 9.4, where the greater the mean dimension shows the large contribution in the mental workload felt by the lecturer. The conclusions, this study show that most lecturers have a high mental workload. It is suggested that the lecturers need to have balance numbers of tasks according to their abilities, balance the time working with recreation, and meet the needs of rest. The results of this study need to be followed up by examining methods or efforts that can reduce the lecturers' mental workload.

Pilot study of office employee informational mental workload

2019 ◽  
Vol 1 (10) ◽  
pp. 866-870 ◽  
Author(s):  
A. V. Zuev ◽  
M. M. Nekrasova ◽  
T. N. Vasiyleva
Keyword(s):  
Pilot Study ◽  
Work Experience ◽  
Mental Workload ◽  
Chronic Fatigue ◽  
Professional Group ◽  
Professional Activity ◽  
Mental Load ◽  
Speed Of Information Processing ◽  
Professional Stress ◽  
Stress Fatigue

Introduction. Development of methodical base of information hygiene, systematization of data on levels of information loadings and degree of their influence on working conditions of workers is actual.The purpose of the study was to measure and evaluate the levels of information mental load of office workers, to study the patterns of development of adverse functional States in this professional group.Materials and methods. The pilot study included 25 employees of scientific and educational institutions aged 25 to 65 years. Measurement of information mental load of workers was carried out on the basis of a point assessment. Psychodiagnostics of performance of participants of research was carried out by means of a package of standard techniques. Heart rate telemetry was carried out in employees in the conditions of professional activity.Results. The integral indicator of information mental load of the studied professional group was 37.3±7.2 points and was in direct connection with the coefficient of comfort of the workplace (r=0.5, p=0.01). A reliable dependence of the speed of information processing on the length of work experience (r=0.71, p=0.0001) was also established. In the low-stress group, high indices of stress, fatigue, monotony were recorded in the workers, in the senior group — signs of chronic fatigue. The employees during the shift registered an increase in sympathetic activation.Conclusions. The results of the psychophysiological survey of employees indicate the need to regulate the information load, the development and implementation of preventive measures to reduce professional stress.

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