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|Title: ||Human mismatches and preferences for automation|
|Authors: ||Abdul Rani, M.R.|
Sinclair, Murray A.
|Issue Date: ||2000|
|Publisher: ||© Taylor and Francis|
|Citation: ||ABDUL RANI, M.R., SINCLAIR, M.A. and CASE, K., 2000. Human mismatches and preferences for automation. International Journal of Production Research, 38 (17), pp. 4033 - 4039|
|Abstract: ||The research reported in this paper is concerned with gaining a better understanding of human factors issues in machining and the automation of manufacturing tasks. Mismatches between operators' performance and the requirements of machining tasks were experimentally studied with respect to the relationships with various human characteristics, including skill, age, work experience, self-confidence and trust. Twelve hypotheses concerning interrelationships between these characteristics were evaluated and important relationships established. It is considered that this increased knowledge of the rate of mismatches and an understanding of the causes is essential for the successful design of new working environments, machines and tasks. Much of this change to the working environment is likely to involve some degree of automation of the operators' tasks and so a second and important aspect of the study was designed to establish the extent to which preferred levels of automation were related to the same human characteristics. Four further hypotheses relating preferred levels of automation to skill, age, work experience, self-confidence and trust were tested with results that, in some cases, were unexpected and in others contradict the findings of previous research. © 2000 Taylor & Francis Ltd.|
|Description: ||This is an Accepted Manuscript of an article published in International Journal of Production Research on 14th November 2010, available online: http://www.tandfonline.com/10.1080/00207540050204894.|
|Version: ||Accepted for publication|
|Publisher Link: ||http://dx.doi.org/10.1080/00207540050204894|
|Appears in Collections:||Published Articles (Mechanical, Electrical and Manufacturing Engineering)|
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