Automated Data Collection

1983 ◽  
Vol 27 (7) ◽  
pp. 546-547 ◽  
Author(s):  
Peter J. Kennedy ◽  
James R. Lewis
Keyword(s):  
Data Collection ◽  
Human Factors ◽  
Product Design ◽  
Personal Computer ◽  
Current Literature ◽  
Low Cost ◽  
Performance Data ◽  
Design Team ◽  
Automated Data Collection ◽  
Operator Performance

Human factors organizations frequently are requested to provide recommendations about design choices to a product design team. These recommendations should be based on operator performance data. However, in many cases the required information may not be present in the current literature and time and personnel resources may be limited. This paper describes how this problem has been solved by the Human Factors group in IBM at Boca Raton. We are using the IBM Personal Computer as a process controller for studies in our lab. This low cost tool facilitates the automation of studies which require the recording of data for subsequent analysis. The Personal Computer has also been used to analyze the data.

Optimizing a Portable Terminal Keyboard for Combined One-Handed and Two-Handed use

1987 ◽  
Vol 31 (5) ◽  
pp. 585-589 ◽  
Author(s):  
Michael E. Wiklund ◽  
Joseph S. Dumas ◽  
Lawrence R. Hoffman
Keyword(s):  
Human Factors ◽  
Product Design ◽  
Design Team ◽  
Standard Size ◽  
Know How ◽  
The Difference ◽  
Typing Skills ◽  
Portable Terminal ◽  
Speed And Accuracy ◽  
Expert To Novice

Human factors experimentation facilitated the design of a portable terminal keyboard for combined one-handed and two-handed operation. To ensure a comfortable grip, the terminal had to be made smaller by reducing the size of its keyboard. The product design team needed to know how small the keyboard could be before it degraded the usability of the keyboard and the overall product. The keyboard experiment was designed primarily to determine the effect of both the number of hands used in typing and key spacing on typing speed and accuracy. A total of six commercially available keyboards with key spacings varying from 0.75 to 0.45 inches were tested. Test subjects with typing skills ranging from expert to novice typed separate samples of text on each keyboard, once using one hand and once using two hands. The difference in typing speed between two and one-handed typing averaged 2—1. A key spacing less than about 0.7 inches substantially reduced typing speed but did not increase errors. Poor typists typed at roughly the same speed no matter the key spacing or number of hands used. These findings and additional human factors studies provided parameters for a keyboard smaller than standard size that is expected to allow users to achieve 90 percent of the typing speed possible on a standard size keyboard without decreasing accuracy.

Human Factors Challenges in After-Action Reviews in Distributed Simulation-Based Training

2005 ◽  
Vol 49 (25) ◽  
pp. 2145-2148
Author(s):  
William J. Salter ◽  
Susannah Hoch ◽  
Jared Freeman
Keyword(s):  
Data Collection ◽  
Human Factors ◽  
Simulation Training ◽  
Distributed Simulation ◽  
Automated Analysis ◽  
Test Methods ◽  
Automated Data Collection ◽  
Training Environment ◽  
Simulation Based ◽  
After Action Reviews

This paper discusses human factors issues in designing methods to develop and deliver After Action Reviews (AARs) in the Navy-sponsored Debriefing Distributed Simulation-Based Exercises (DDSBE) research program. DDSBE is intended to develop and test methods for collecting, analyzing, presenting, and distributing performance data in the emerging Navy distributed simulation training environment. In addition to research-driven AAR design, the program includes considerable software development: building a simulation testbed, developing and integrating automated and semi-automated data collection tools, and designing and implementing automated analysis methods. Considerable data will be collected automatically. Consequently, trainers will not be required to observe an aspect of performance to include it in an AAR. Although AARs are used after actual military actions and after live training, we confine our discussion to distributed simulation-based training, the focus of DDSBE.

A low-cost system for computerized rodent weight logging with statistical analysis

1989 ◽  
Vol 23 (1) ◽  
pp. 39-42
Author(s):  
L. S. Young ◽  
R. J. East ◽  
T. Fearn
Keyword(s):  
Statistical Analysis ◽  
Data Collection ◽  
Personal Computer ◽  
Low Cost ◽  
Computer Programs ◽  
Current Loop ◽  
Computer Data ◽  
Cost System ◽  
On Line ◽  
Weight Data

A system comprising a suite of 4 computer programs has been developed for on-line rodent weight data collection and statistical analysis using an IBM personal computer. Data can be collected from up to 3 separate trials simultaneously, and can be stored for later statistical analysis. Mettler balances were used for the animal weighing. A Mettler current loop adapter and a multiplexer were used to interface the balances with the computer.

Automated electron tomography: from data collection to image processing

1995 ◽  
Vol 53 ◽  
pp. 26-27
Author(s):  
Weiping Liu ◽  
Jennifer Fung ◽  
W.J. de Ruijter ◽  
Hans Chen ◽  
John W. Sedat ◽  
...  
Keyword(s):  
Image Processing ◽  
Data Collection ◽  
Structural Information ◽  
Imaging Technique ◽  
Electron Tomography ◽  
Ccd Camera ◽  
Automated Data Collection ◽  
Full Control ◽  
Transmission Electron ◽  
Amorphous Structures

Electron tomography is a technique where many projections of an object are collected from the transmission electron microscope (TEM), and are then used to reconstruct the object in its entirety, allowing internal structure to be viewed. As vital as is the 3-D structural information and with no other 3-D imaging technique to compete in its resolution range, electron tomography of amorphous structures has been exercised only sporadically over the last ten years. Its general lack of popularity can be attributed to the tediousness of the entire process starting from the data collection, image processing for reconstruction, and extending to the 3-D image analysis. We have been investing effort to automate all aspects of electron tomography. Our systems of data collection and tomographic image processing will be briefly described.To date, we have developed a second generation automated data collection system based on an SGI workstation (Fig. 1) (The previous version used a micro VAX). The computer takes full control of the microscope operations with its graphical menu driven environment. This is made possible by the direct digital recording of images using the CCD camera.

Automated data collection

1983 ◽  
Author(s):  
Peter J. Kennedy ◽  
James R. Lewis
Keyword(s):  
Data Collection ◽  
Automated Data Collection

Metformin: Up to Date

2020 ◽  
Vol 20 (2) ◽  
pp. 172-181 ◽  
Author(s):  
Silvia Sciannimanico ◽  
Franco Grimaldi ◽  
Fabio Vescini ◽  
Giovanni De Pergola ◽  
Massimo Iacoviello ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Current Literature ◽  
Weight Control ◽  
Low Cost ◽  
Hepatic Glucose Production ◽  
Metabolic Effects ◽  
Hypoglycemic Agents ◽  
Positive Effects ◽  
Mesh Terms

Background: Metformin is an oral hypoglycemic agent extensively used as first-line therapy for type 2 diabetes. It improves hyperglycemia by suppressing hepatic glucose production and increasing glucose uptake in muscles. Metformin improves insulin sensitivity and shows a beneficial effect on weight control. Besides its metabolic positive effects, Metformin has direct effects on inflammation and can have immunomodulatory and antineoplastic properties. Aim: The aim of this narrative review was to summarize the up-to-date evidence from the current literature about the metabolic and non-metabolic effects of Metformin. Methods: We reviewed the current literature dealing with different effects and properties of Metformin and current recommendations about the use of this drug. We identified keywords and MeSH terms in Pubmed and the terms Metformin and type 2 diabetes, type 1 diabetes, pregnancy, heart failure, PCOS, etc, were searched, selecting only significant original articles and review in English, in particular of the last five years. Conclusion: Even if many new effective hypoglycemic agents have been launched in the market in the last few years, Metformin would always keep a place in the treatment of type 2 diabetes and its comorbidities because of its multiple positive effects and low cost.

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