An Analysis of and Human Factor Study on Access Delay Time to Home Bus

1985 ◽  
Vol CE-31 (3) ◽  
pp. 528-537 ◽  
Author(s):  
N. Ayugase ◽  
H. Kishimoto ◽  
S. Nishimura
Keyword(s):  
Delay Time ◽  
Human Factor ◽  
Access Delay ◽  
Factor Study

17.3-in Mini-LEDs halo effect and human factor study for high-end notebook application

2019 ◽  
pp. 1490
Author(s):  
Hao-Hao Wu ◽  
Jenn-Jia Su ◽  
Chun-Sheng Li ◽  
Han-Ping Kuo ◽  
Yu-Hsiu Chang ◽  
...  
Keyword(s):  
Human Factor ◽  
Halo Effect ◽  
Factor Study

Human factor study on the crosstalk of multiview autostereoscopic displays

2010 ◽  
Author(s):  
Jinn-Cherng Yang ◽  
Kuo-Chung Huang ◽  
Chou-Lin Wu ◽  
Kuen Lee ◽  
Sheue-Ling Hwang
Keyword(s):  
Human Factor ◽  
Autostereoscopic Displays ◽  
Factor Study

scholarly journals EVALUATING PRODUCTIVITY TARGET AND ERGONOMICS SAFEGUARD: A HUMAN FACTOR STUDY OF BOTTLE MAKING INDUSTRY

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
HEZEKIAH OLUWOLE ADEYEMI OLUWOLE ADEYEMI
Keyword(s):  
Key Words ◽  
Human Factor ◽  
Health And Safety ◽  
T Test ◽  
Ratio Scale ◽  
Subjective Perceptions ◽  
Factor Study ◽  
Southwest Nigeria ◽  
One Year ◽  
The Relationship

This study evaluated the relationship between machinery operators’ productivity efficiency (MOPE) and the machinery operators’ on-the-job ergonomics satisfactions (MOOES) in Southwest Nigeria bottle making industry (BMI). The MOPE, for a period of one year, was computed for 50 semi-automatic PET blow machines operators in 12 bottle making industries. The subjective perceptions of the workers (category ratio scale - (CRS)) with respect to workloads elements and exposures to machine related hazards were measured using a questionnaire. MOPE results showed 78% of the studied subjects scored about 50% and their productivity were rated average. However, more than 92% of the operators suffered from mental, physical and environmental workload elements. With t- test, MOPE showed statistically significantly higher means value (54.22 ± 2.5, SEM= 1.8) compared to MOOES (34.40 ± 2.75, SEM=.125), t(98) = 23.309, p = .001 hence, were significantly different t- confirming a gap between machinery operators’ ergonomics satisfactions and their productivity levels. The study suggested development of administrative measures capable of bridging the gap to enhance health and safety of the workers. Key words: ergonomics, satisfaction, machinery, operators, productivity, bottle, industry.

A Human Factor Study of Individual Home Appliance Energy Use

1978 ◽  
Vol 22 (1) ◽  
pp. 443-443
Author(s):  
John V. Fechter
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Use ◽  
Human Factor ◽  
Department Of Energy ◽  
Test Method ◽  
Factor Study ◽  
Measured Efficiency ◽  
Home Appliance ◽  
Efficiency Test

For ten different kitchen ranges, forty-six different cooks prepared a standard 21 meal menu while the energy used by each cook was measured. The energy efficiency of each range was then determined and the ranges were rank-ordered in two ways—on the basis of measured range efficiency and energy actually used by cooks. In general, the higher the measured efficiency the lower the total energy use. This was an important result because it meant that the range efficiency test method to be required by Department of Energy (formerly Federal Energy Administration) regulations was a fair method for manufacturers to use. In addition to that result, large differences were noted in energy consumption by different cooks on the same range. The implications of those differences, and the need for further research about them will be discussed.

17.3-in Mini-LEDs halo effect and human factor study for high-end notebook application

2019 ◽  
pp. 1490
Author(s):  
Hao-Hao Wu ◽  
Jenn-Jia Su ◽  
Chun-Sheng Li ◽  
Han-Ping Kuo ◽  
Yu-Hsiu Chang ◽  
...  
Keyword(s):  
Human Factor ◽  
Halo Effect ◽  
Factor Study

Human Factor Study in Gesture Based CAD Environment

2015 ◽  
Author(s):  
Shrey Pareek ◽  
Vaibhav Sharma ◽  
Ehsan T. Esfahani
Keyword(s):  
Input Data ◽  
Human Factor ◽  
User Study ◽  
Computational Cost ◽  
High Extent ◽  
Qualitative And Quantitative ◽  
3D Space ◽  
Factor Study

This study proposes a gesture based CAD interface that uses pose, position, velocity and direction of fingers as input data in order to draw, extrude, scale, translate and rotate an object in the 3D space. The system allows the user to generate basic geometrical primitives and advanced geometries (geometries that cannot be realized using the CSG primitives) and to perform basic CAD operations described above. As opposed to traditional systems wherein path based gestures are used to carry out operations, the proposed system uses switches that operate on simple binary principles thus reducing the computational cost of the system by eliminating the use of a classifier scheme to a high extent. A user study involving 10 subjects is also presented in order to determine the qualitative and quantitative efficacy of the proposed system.

System-crosstalk effect on stereopsis human factor study for 3D displays

2010 ◽  
Author(s):  
Kuo-Chung Huang ◽  
Jinn-Cherng Yang ◽  
Chou-Lin Wu ◽  
Kuen Lee ◽  
Sheue-Ling Hwang
Keyword(s):  
Human Factor ◽  
3D Displays ◽  
Factor Study

An Application of the HFACS Method to Aviation Accidents in Africa

2016 ◽  
Vol 6 (1) ◽  
pp. 33-38 ◽  
Author(s):  
Isaac Munene
Keyword(s):  
Human Factors ◽  
Physical Environment ◽  
Human Factor ◽  
Flight Training ◽  
African Countries ◽  
Causal Factors ◽  
Aviation Accidents ◽  
Factors Analysis ◽  
Adverse Weather ◽  
Decision Errors

Abstract. The Human Factors Analysis and Classification System (HFACS) methodology was applied to accident reports from three African countries: Kenya, Nigeria, and South Africa. In all, 55 of 72 finalized reports for accidents occurring between 2000 and 2014 were analyzed. In most of the accidents, one or more human factors contributed to the accident. Skill-based errors (56.4%), the physical environment (36.4%), and violations (20%) were the most common causal factors in the accidents. Decision errors comprised 18.2%, while perceptual errors and crew resource management accounted for 10.9%. The results were consistent with previous industry observations: Over 70% of aviation accidents have human factor causes. Adverse weather was seen to be a common secondary casual factor. Changes in flight training and risk management methods may alleviate the high number of accidents in Africa.

Review of Flightdeck Performance: The Human Factor.

1991 ◽  
Vol 36 (8) ◽  
pp. 730-730
Author(s):  
No authorship indicated
Keyword(s):  
Human Factor
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