Discovering Social Networks Instantly: Moving Process Mining Computations to the Database and Data Entry Time

2017 ◽  
pp. 51-67 ◽  
Author(s):  
Alifah Syamsiyah ◽  
Boudewijn F. van Dongen ◽  
Wil M. P. van der Aalst
Keyword(s):  
Social Networks ◽  
Process Mining ◽  
Data Entry ◽  
Entry Time ◽  
Moving Process

Intranet Exploitation of Social Network Knowledge Intelligence

2017 ◽  
pp. 273-298
Author(s):  
Mark Alan Underwood
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Social Network ◽  
Life Cycle ◽  
Online Social Networks ◽  
Intelligent Agents ◽  
Process Mining ◽  
Just In Time ◽  
Domain Specific ◽  
Social Graphs

Intranets are almost as old as the concept of a web site. More than twenty-five years ago the text Business Data Communications closed with a discussion of intranets (Stallings, 1990). Underlying technology improvements in intranets have been incremental; intranets were never seen as killer developments. Yet the popularity of Online Social Networks (OSNs) has led to increased interest in the part OSNs play – or could play – in using intranets to foster knowledge management. This chapter reviews research into how social graphs for an enterprise, team or other collaboration group interacts with the ways intranets have been used to display, collect, curate and disseminate information over the knowledge life cycle. Future roles that OSN-aware intranets could play in emerging technologies, such as process mining, elicitation methods, domain-specific intelligent agents, big data, and just-in-time learning are examined.

An Evaluation of the Strengths, Weaknesses and Uses of Voice Input Devices

1980 ◽  
Vol 24 (1) ◽  
pp. 190-194 ◽  
Author(s):  
David J. Cochran ◽  
Michael W. Riley ◽  
Laura A. Stewart
Keyword(s):  
Data Entry ◽  
Input Device ◽  
Voice Input ◽  
Input Devices ◽  
Entry Time ◽  
Data Entry System ◽  
Task Time ◽  
Voice Data ◽  
The Voice

This paper examines the function of systems which are now available for voice input into computer memory. Strengths of present systems are discussed along with their weaknesses. Situations in which a voice data entry system is appropriate are explored as well as those system requirements which make voice input device systems feasible. One voice input device is tested in an industrial situation. The system is compared to two other methods of data entry on the basis of data entry time, total task time, and on error rate. The voice system shows longer entry time when compared with standard keyboarding but with higher accuracy. When the voice system is allowed to function to its potential by eliminating intermediate steps in the process, it is more efficient and more accurate. Tests conducted have shown that the maximum number of entries per minute over a very short duration (10 sec.) was about fifty-five. In an eight-minute sustained test, rates of about forty entries per minute were possible, but in long-term, the rate dropped to about 26 entries per minute. With proper coding and use on tasks where some components can be shortened or eliminated, the voice can be better than the keyboard.

scholarly journals An electronic system for measuring and recording the dimensions of horticultural produce

1992 ◽  
Vol 72 (1) ◽  
pp. 317-321
Author(s):  
D. J. Buckley ◽  
W. E. Fagan ◽  
C. L. Ricketson
Keyword(s):  
Simultaneous Measurement ◽  
Data Entry ◽  
Electronic System ◽  
Measuring System ◽  
Rigid Support ◽  
Electronic Measuring ◽  
Portable Computer ◽  
Support Frame ◽  
Entry Time ◽  
System Components

The design and operation of an electronic measuring system for simultaneous measurement of vertical and horizontal dimensions of horticultural produce are described. The system consists of two electronic scale units, mounted on a rigid support frame, which are connected to a portable computer via a multiplexer. A hand-held electronic calliper is also connected to the multiplexer to add versatility to the system for measuring small or untrimmed produce. System components are readily available and relatively inexpensive. The system is accurate, reliable and reduces total measuring and data entry time to about 40% of that required using manual methods.Key words: Electronic measuring system, horticultural produce

scholarly journals DieTryin: An R package for data collection, automated data entry, and post-processing of network-structured economic games, social networks, and other roster-based dyadic data

2021 ◽  
Author(s):  
Cody T. Ross ◽  
Daniel Redhead
Keyword(s):  
Social Networks ◽  
Data Collection ◽  
Sample Size ◽  
Data Entry ◽  
R Package ◽  
Recall Bias ◽  
Post Processing ◽  
Dyadic Data ◽  
Economic Games ◽  
Respondent Fatigue

AbstractResearchers studying social networks and inter-personal sentiments in bounded or small-scale communities face a trade-off between the use of roster-based and free-recall/name-generator-based survey tools. Roster-based methods scale poorly with sample size, and can more easily lead to respondent fatigue; however, they generally yield higher quality data that are less susceptible to recall bias and that require less post-processing. Name-generator-based methods, in contrast, scale well with sample size and are less likely to lead to respondent fatigue. However, they may be more sensitive to recall bias, and they entail a large amount of highly error-prone post-processing after data collection in order to link elicited names to unique identifiers. Here, we introduce an R package, DieTryin, that allows for roster-based dyadic data to be collected and entered as rapidly as name-generator-based data; DieTryin can be used to run network-structured economic games, as well as collect and process standard social network data and round-robin Likert-scale peer ratings. DieTryin automates photograph standardization, survey tool compilation, and data entry. We present a complete methodological workflow using DieTryin to teach end-users its full functionality.

Training Approaches and Data Entry Methods for Semi-Automated Command and Control Systems

1980 ◽  
Vol 24 (1) ◽  
pp. 416-420
Author(s):  
Paul A. Gade ◽  
Alison F. Fields ◽  
Richard E. Maisano ◽  
Charles F. Marshall
Keyword(s):  
Control Systems ◽  
Instructional Strategy ◽  
Data Entry ◽  
Command And Control ◽  
Training Time ◽  
Entry Time ◽  
And Performance ◽  
And Control ◽  
Command And Control System ◽  
Manual Data Entry

In Experiment 1, a response-sensitive instructional strategy was compared to more traditional instructional strategies in an embedded training program designed for manual data entry operators in the Army TOS command and control system. Results showed that using the response-sensitive strategy reduced training time without reducing inputting accuracy. Experiment 2 examined the relative efficiency of four different manual data entry methods: Typing, Typing with an error corrector, Menus, and Auto-completion with an English option. Results show that Menus are the most accurate inputting method. No differences were found in entry time among the methods. Results also showed little agreement between preference and performance for the methods.

A Comparison of Full and Reduced-Alpha Keyboards for Aircraft Data Entry

1981 ◽  
Vol 25 (1) ◽  
pp. 257-257
Author(s):  
Mary E. Hornsby
Keyword(s):  
Data Entry ◽  
Flight Plan ◽  
Related Information ◽  
Flight Simulators ◽  
Entry Time ◽  
Different Types ◽  
Speed Advantage ◽  
Single Number ◽  
Speed Accuracy ◽  
Design Factors

CRT's and associated data entry keyboards are being used in aircraft to replace dedicated switches and instruments for entry and display of flight relevant data. This study compared the speed and accuracy of data entry using two different types of alphanumeric keyboards designed for entering data into aircraft mission computers. A full-alpha keyboard has a separate key for each letter of the alphabet as well as each number; a reduced-alpha keyboard (e.g., telephone type) has more than one letter per key. Reduced-alpha keyboards generally weigh less and occupy less space than full-alpha keyboards, but these advantages might be nullified by operational disadvantages. Alpha entries on a full-alpha keyboard require only one stroke per letter, while alpha entries on a reduced-alpha keyboard require at least two keystrokes per letter: one to identify the correct key, and one or more to select the appropriate letter on that key. Because increasing the number of required keystrokes increases both entry time and the opportunity for error, it was hypothesized that alpha entries would take longer and be less accurate on a reduced alpha keyboard. In this study, twelve subjects (eleven of them pilots) entered flight-related information on each of two keyboards. On the reduced-alpha keyboard, numbers and letters were arranged on a 3 X 4 key matrix, with three letters and one number on each key. The full-alpha keyboard had number keys arranged in a 4 X 3 matrix and letter keys (one letter to a key) in a separate 7 X 4 matrix. The keyboards were installed in similar flight simulators and were situated forward and to the left of the operator. For both types of keyboards, entries appeared on the “scratchpad” line of a monochrome CRT just above the keyboard. For all entries on the full-alpha keyboard, this meant that the single number or letter on the selected key appeared on the CRT. For all entries on the reduced-alpha keyboard, the single number on the selected key appeared on the CRT scratchpad line. At the same time, the three letters on the selected key appeared just below the scratchpad line, and just above three unlabeled “alpha select” keys, which were physically distinct from the alphanumeric keyboard. Numeric entries were complete at this point; to finish an alpha entry, the “alpha select” key just under the appropriate letter had to be pressed. After keyboard training and practice, each subject entered flight initialization information, a flight plan, and flight plan modifications for each of two “flights” using one of the keyboards. This required a total of approximately 80 alpha and 240 numeric entries. This procedure was repeated two days later on the other keyboard for two different “flights.” Order of keyboard and “flights” was counterbalanced. Performance measures were the average entry time (computer recorded) and the number of errors for alpha and numeric characters on each type of keyboard. As expected, alpha entries were significantly slower on the reduced-alpha keyboard (x‾ = 3.84 sec) than on the full-alpha keyboard (x‾ = 2.28 sec), since they required two keystrokes. Contrary to expectation, numeric entries were also significantly slower on the reduced-alpha keyboard (x‾ = 1.70 sec) than on the full-alpha keyboard (x‾ = 1.18 sec). This result may have been due to the confusion involved in making two different types of entries (with different procedures) using the same set of keys for the reduced-alpha keyboard, while alpha and numeric entries were physically separate and identical in procedure on the full alpha keyboard. Errors were minimal for both types of entries on both types of keyboards. A total of 26 errors in numeric entries were made on each type of keyboard. There were 30 alpha entry errors on the reduced alpha keyboard and nine on the full-alpha keyboard. There was no evidence of a speed-accuracy tradeoff in entries on the two keyboards since entries were faster and as accurate on the full-alpha keyboard. Whether the entry speed advantage of the full alpha keyboard would outweigh its greater size and weight would depend on design factors and the time criticality of necessary entries for a specific application.

scholarly journals Implementing an Integrated Electronic Outcomes and Electronic Health Record Process to Create a Foundation for Clinical Practice Improvement

2008 ◽  
Vol 88 (2) ◽  
pp. 270-285 ◽  
Author(s):  
Daniel Deutscher ◽  
Dennis L Hart ◽  
Ruth Dickstein ◽  
Susan D Horn ◽  
Moshe Gutvirtz
Keyword(s):  
Clinical Practice ◽  
Data Collection ◽  
Data Entry ◽  
Implementation Process ◽  
Participation Rate ◽  
Completion Rate ◽  
Health Record ◽  
Practice Improvement ◽  
Entry Time ◽  
Therapy Service

Background and PurposeImproving clinical outcomes requires continuous measurement and interpretation in conjunction with treatment process and patient characteristics. The purposes of this study were: (1) to describe implementation and integration of electronic functional status outcomes into an electronic health record (EHR) for the promotion of clinical practice improvement processes and (2) to examine the effect of ongoing outcomes data collection in a large physical therapy service in relation to patient and clinic burden.SubjectsData were examined from 21,523 adult patients (mean age=50.6 years, SD=16.3, range=18–99; 58.9% women, 41.1% men) referred for physical therapist management of neuromusculoskeletal disorders.MethodsProcess and patient characteristic data were entered into the EHR. Outcomes data collected using computerized adaptive testing technology in 11 outpatient clinics were integrated into the EHR. The effect of data collection was assessed by measuring the participation rate, completion rate, and data entry time. Qualitative assessment of the implementation process was conducted.ResultsAfter 1 year, the average participation rate per clinic was 79.8% (range=52.7%–100%), the average completion rate per clinic was 45.1% (range=19.3%–64.7%), and the average data entry time per patient (minutes:seconds) was 03:37 (SD=02:19). Maximum estimate of average administrative time per patient was 9.6% of overall episode time. Barriers to and facilitators of the implementation process were identified.Discussion and ConclusionThe results indicate that routine collection of outcome data is realistic in a large public physical therapy service and can be successfully integrated with EHR data to produce a valuable clinical practice improvement platform for service evaluation and outcomes research. Participation and completion rate goals of 90% and 65%, respectively, appear to be feasible.

SPECTRA: A program for processing electron images of crystals

1992 ◽  
Vol 50 (1) ◽  
pp. 132-133
Author(s):  
M.F. Schmid ◽  
R. Dargahi ◽  
M. W. Tam
Keyword(s):  
Lattice Distortion ◽  
Data Transfer ◽  
Reciprocal Lattice ◽  
Data Entry ◽  
Image Data ◽  
Distortion Correction ◽  
Specimen Preparation ◽  
Electron Image ◽  
Computer Controlled ◽  
Program Modules

Electron crystallography is an emerging field for structure determination as evidenced by a number of membrane proteins that have been solved to near-atomic resolution. Advances in specimen preparation and in data acquisition with a 400kV microscope by computer controlled spot scanning mean that our ability to record electron image data will outstrip our capacity to analyze it. The computed fourier transform of these images must be processed in order to provide a direct measurement of amplitudes and phases needed for 3-D reconstruction.In anticipation of this processing bottleneck, we have written a program that incorporates a menu-and mouse-driven procedure for auto-indexing and refining the reciprocal lattice parameters in the computed transform from an image of a crystal. It is linked to subsequent steps of image processing by a system of data bases and spawned child processes; data transfer between different program modules no longer requires manual data entry. The progress of the reciprocal lattice refinement is monitored visually and quantitatively. If desired, the processing is carried through the lattice distortion correction (unbending) steps automatically.

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