Workload and Performance: Associations, Insensitivities, and Dissociations

被引:94
作者
Hancock, P. A. [1 ,2 ]
Matthews, Gerald [3 ]
机构
[1] Univ Cent Florida, Dept Psychol, 4111 Pictor Lane,Suite 301, Orlando, FL 32817 USA
[2] Univ Cent Florida, Inst Simulat & Training, Orlando, FL 32816 USA
[3] Univ Cent Florida, Inst Simulat & Training, Prodigy Lab, Orlando, FL 32816 USA
关键词
cognitive workload; physiological reactivity; subjective perception; association; insensitivity; dissociation; MENTAL WORKLOAD; UNMANNED SYSTEM; STRESS; RESPONSES; FEEDBACK; MODEL; POWER;
D O I
10.1177/0018720818809590
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Objective: The aim of this study was to distill and define those influences under which change in objective performance level and the linked cognitive workload reflections of subjective experience and physiological variation either associate, dissociate, or are insensitive, one to another. Background: Human factors/ergonomics frequently employs users' self-reports of their own conscious experience, as well as their physiological reactivity, to augment the understanding of changing performance capacity. Under some circumstances, these latter workload responses are the only available assessment information to hand. How such perceptions and physiological responses match, fail to match, or are insensitive to the change in primary-task performance can prove critical to operational success. The reasons underlying these associations, dissociations, and insensitivities are central to the success of future effective human-machine interaction. Method: Using extant research on the relations between differing methods of workload assessment, factors influencing their association, dissociation, and insensitivity are identified. Results: Dissociations and insensitivities occur more frequently than extant explanatory theories imply. Methodological and conceptual reasons for these patterns of incongruity are identified and evaluated. Application: We often seek convergence of results in order to provide coherent explanations as bases for future prediction and practical design implementation. Identifying and understanding the causes as to why different reflections of workload diverge can help practitioners toward operational success.
引用
收藏
页码:374 / 392
页数:19
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