NDLI: Man-Machine Communication: An Experimental Analysis of Heuristic Problem-Solving under On-Line and Batch-Processing Conditions

Content Provider	IEEE Xplore Digital Library
Author	Hansen, James V.
Copyright Year	1971
Description	Possibly the most revolutionary development to impact upon decisionmaking has been the electronic computer. Its capability to process large volumes of data rapidly, to make complex computations in fractions of seconds, and to provide outputs in a variety of formats has markedly expanded the boundaries of decisionmaking. Notwithstanding such progress, the computer's contribution to decisionmaking has thus far been largely limited to routine and repetitive operations which lend themselves to the development of standard decisionmaking procedures. This has been an important contribution, yet most decisionmaking situations, particularly at higher levels of management, are unique and ill structured requiring flexible and adaptive responses. Man-machine systems are thought to offer potential for assisting management in meeting these requirements. The study reported here examines comparative problem-solving performance of individuals communicating directly with the computer (on-line processing) versus individuals communicating with the computer in an intermittent fashion (batch processing). The study is marked by an effort to take up the challenge of management problems having no set solution procedure. Performance measurements include objective functions, understanding of variable interactions, and comparative problem-solving patterns.
Starting Page	746
Ending Page	752
Page Count	7
File Size	1775496
File Format	PDF
ISSN	00189472
Volume Number	6
Issue Number	11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1976-11-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Man machine systems Problem-solving Humans Standards development Measurement Output feedback Guidelines Filters Technology management Computer science
Content Type	Text
Resource Type	Article
Subject	Engineering

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