Loading…

UPDATING SOME GROUND RULES FOR MAN-MACHINE SIMULATION

This paper proposes to show that the techniques and research designs borrowed from the highly abstract, sterilized, easily replicable experiments of the social scientist are, in part, responsible for the failure both to evaluate simulation methodology and to make significant research gains through s...

Full description

Saved in:
Bibliographic Details
Main Authors: Meeker, Robert J, Shure, Gerald H
Format: Report
Language:English
Subjects:
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Meeker, Robert J
Shure, Gerald H
description This paper proposes to show that the techniques and research designs borrowed from the highly abstract, sterilized, easily replicable experiments of the social scientist are, in part, responsible for the failure both to evaluate simulation methodology and to make significant research gains through simulation studies. With the availability of a large-scale, computer-based laboratory, techniques are now available for overcoming many of the serious limitations associated with the problems of data collection and analysis, particularly the difficulty of timely assessment and recording of data on large number of subjects in the precise detail and volume required: and secondly, the problem of usefully analyzing such an enormous and complex body of data. We propose to show that in our own research program the use of large-scale computer-based laboratory permits significant inroads to be made into methodological and validity problems of simulation, which remain relatively intractable under attacks of a smaller scale.
format report
fullrecord <record><control><sourceid>dtic_1RU</sourceid><recordid>TN_cdi_dtic_stinet_AD0672783</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>AD0672783</sourcerecordid><originalsourceid>FETCH-dtic_stinet_AD06727833</originalsourceid><addsrcrecordid>eNrjZDANDXBxDPH0c1cI9vd1VXAP8g_1c1EICvVxDVZw8w9S8HX00_V1dPbw9HNVCPb0DfUBKvb342FgTUvMKU7lhdLcDDJuriHOHropJZnJ8cUlmXmpJfGOLgZm5kbmFsbGBKQBaTokzA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>report</recordtype></control><display><type>report</type><title>UPDATING SOME GROUND RULES FOR MAN-MACHINE SIMULATION</title><source>DTIC Technical Reports</source><creator>Meeker, Robert J ; Shure, Gerald H</creator><creatorcontrib>Meeker, Robert J ; Shure, Gerald H ; SYSTEM DEVELOPMENT CORP SANTA MONICA CA</creatorcontrib><description>This paper proposes to show that the techniques and research designs borrowed from the highly abstract, sterilized, easily replicable experiments of the social scientist are, in part, responsible for the failure both to evaluate simulation methodology and to make significant research gains through simulation studies. With the availability of a large-scale, computer-based laboratory, techniques are now available for overcoming many of the serious limitations associated with the problems of data collection and analysis, particularly the difficulty of timely assessment and recording of data on large number of subjects in the precise detail and volume required: and secondly, the problem of usefully analyzing such an enormous and complex body of data. We propose to show that in our own research program the use of large-scale computer-based laboratory permits significant inroads to be made into methodological and validity problems of simulation, which remain relatively intractable under attacks of a smaller scale.</description><language>eng</language><subject>Computer Hardware ; COMPUTERS ; CORRELATION TECHNIQUES ; EXPERIMENTAL DATA ; GAME THEORY ; Human Factors Engineering &amp; Man Machine System ; MAN MACHINE SYSTEMS ; SIMULATION ; SOCIAL SCIENCES ; Sociology and Law</subject><creationdate>1968</creationdate><rights>Approved for public release; distribution is unlimited.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,780,885,27567,27568</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/AD0672783$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Meeker, Robert J</creatorcontrib><creatorcontrib>Shure, Gerald H</creatorcontrib><creatorcontrib>SYSTEM DEVELOPMENT CORP SANTA MONICA CA</creatorcontrib><title>UPDATING SOME GROUND RULES FOR MAN-MACHINE SIMULATION</title><description>This paper proposes to show that the techniques and research designs borrowed from the highly abstract, sterilized, easily replicable experiments of the social scientist are, in part, responsible for the failure both to evaluate simulation methodology and to make significant research gains through simulation studies. With the availability of a large-scale, computer-based laboratory, techniques are now available for overcoming many of the serious limitations associated with the problems of data collection and analysis, particularly the difficulty of timely assessment and recording of data on large number of subjects in the precise detail and volume required: and secondly, the problem of usefully analyzing such an enormous and complex body of data. We propose to show that in our own research program the use of large-scale computer-based laboratory permits significant inroads to be made into methodological and validity problems of simulation, which remain relatively intractable under attacks of a smaller scale.</description><subject>Computer Hardware</subject><subject>COMPUTERS</subject><subject>CORRELATION TECHNIQUES</subject><subject>EXPERIMENTAL DATA</subject><subject>GAME THEORY</subject><subject>Human Factors Engineering &amp; Man Machine System</subject><subject>MAN MACHINE SYSTEMS</subject><subject>SIMULATION</subject><subject>SOCIAL SCIENCES</subject><subject>Sociology and Law</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>1968</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNrjZDANDXBxDPH0c1cI9vd1VXAP8g_1c1EICvVxDVZw8w9S8HX00_V1dPbw9HNVCPb0DfUBKvb342FgTUvMKU7lhdLcDDJuriHOHropJZnJ8cUlmXmpJfGOLgZm5kbmFsbGBKQBaTokzA</recordid><startdate>19680425</startdate><enddate>19680425</enddate><creator>Meeker, Robert J</creator><creator>Shure, Gerald H</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>19680425</creationdate><title>UPDATING SOME GROUND RULES FOR MAN-MACHINE SIMULATION</title><author>Meeker, Robert J ; Shure, Gerald H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_AD06727833</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>1968</creationdate><topic>Computer Hardware</topic><topic>COMPUTERS</topic><topic>CORRELATION TECHNIQUES</topic><topic>EXPERIMENTAL DATA</topic><topic>GAME THEORY</topic><topic>Human Factors Engineering &amp; Man Machine System</topic><topic>MAN MACHINE SYSTEMS</topic><topic>SIMULATION</topic><topic>SOCIAL SCIENCES</topic><topic>Sociology and Law</topic><toplevel>online_resources</toplevel><creatorcontrib>Meeker, Robert J</creatorcontrib><creatorcontrib>Shure, Gerald H</creatorcontrib><creatorcontrib>SYSTEM DEVELOPMENT CORP SANTA MONICA CA</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Meeker, Robert J</au><au>Shure, Gerald H</au><aucorp>SYSTEM DEVELOPMENT CORP SANTA MONICA CA</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>UPDATING SOME GROUND RULES FOR MAN-MACHINE SIMULATION</btitle><date>1968-04-25</date><risdate>1968</risdate><abstract>This paper proposes to show that the techniques and research designs borrowed from the highly abstract, sterilized, easily replicable experiments of the social scientist are, in part, responsible for the failure both to evaluate simulation methodology and to make significant research gains through simulation studies. With the availability of a large-scale, computer-based laboratory, techniques are now available for overcoming many of the serious limitations associated with the problems of data collection and analysis, particularly the difficulty of timely assessment and recording of data on large number of subjects in the precise detail and volume required: and secondly, the problem of usefully analyzing such an enormous and complex body of data. We propose to show that in our own research program the use of large-scale computer-based laboratory permits significant inroads to be made into methodological and validity problems of simulation, which remain relatively intractable under attacks of a smaller scale.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_dtic_stinet_AD0672783
source DTIC Technical Reports
subjects Computer Hardware
COMPUTERS
CORRELATION TECHNIQUES
EXPERIMENTAL DATA
GAME THEORY
Human Factors Engineering & Man Machine System
MAN MACHINE SYSTEMS
SIMULATION
SOCIAL SCIENCES
Sociology and Law
title UPDATING SOME GROUND RULES FOR MAN-MACHINE SIMULATION
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T21%3A42%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-dtic_1RU&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.btitle=UPDATING%20SOME%20GROUND%20RULES%20FOR%20MAN-MACHINE%20SIMULATION&rft.au=Meeker,%20Robert%20J&rft.aucorp=SYSTEM%20DEVELOPMENT%20CORP%20SANTA%20MONICA%20CA&rft.date=1968-04-25&rft_id=info:doi/&rft_dat=%3Cdtic_1RU%3EAD0672783%3C/dtic_1RU%3E%3Cgrp_id%3Ecdi_FETCH-dtic_stinet_AD06727833%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true