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Human-computer interaction in multitask situationsHuman-computer interaction in multitask decisionmaking situations is considered, and it is proposed that humans and computers have overlapping responsibilities. Queueing theory is employed to model this dynamic approach to the allocation of responsibility between human and computer. Results of simulation experiments are used to illustrate the effects of several system variables including number of tasks, mean time between arrivals of action-evoking events, human-computer speed mismatch, probability of computer error, probability of human error, and the level of feedback between human and computer. Current experimental efforts are discussed and the practical issues involved in designing human-computer systems for multitask situations are considered.
Document ID
19770048735
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Rouse, W. B.
(Illinois, University Urbana, Ill., United States)
Date Acquired
August 8, 2013
Publication Date
May 1, 1977
Subject Category
Man/System Technology And Life Support
Accession Number
77A31587
Funding Number(s)
CONTRACT_GRANT: NSG-2119
Distribution Limits
Public
Copyright
Other

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