An extension of workload capacity space for systems with more than two channels

被引:7
|
作者
Blaha, Leslie M. [1 ]
Houpt, Joseph W. [2 ]
机构
[1] Air Force Res Lab, Warfighter Interface Div, Wright Patterson AFB, OH 45433 USA
[2] Wright State Univ, Dept Psychol, Dayton, OH 45435 USA
关键词
Workload; Capacity; Human information processing; Race model; DIVIDED ATTENTION; REDUNDANT-SIGNALS; PARALLEL;
D O I
10.1016/j.jmp.2015.01.002
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We provide the n-channel extension of the unified workload capacity space bounds for standard parallel processing models with minimum-time, maximum-time, and single-target self-terminating stopping rules. This extension enables powerful generalizations of this approach to multiple stopping rules and any number of channels of interest. Mapping the bounds onto the unified capacity space enables a single plot to be used to compare the capacity coefficient values to the upper and lower bounds on standard parallel processing in order to make direct inferences about extreme workload capacity. Published by Elsevier Inc.
引用
收藏
页码:1 / 5
页数:5
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