Repository-Mat Rebi IJPR 2000.pdf (141.13 kB)
Human mismatches and preferences for automation
journal contribution
posted on 2014-09-11, 12:48 authored by Mat R. Abdul Rani, Murray Sinclair, Keith CaseThe 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.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
International Journal of Production ResearchVolume
38Issue
17 SPEC.Pages
4033 - 4039Citation
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 - 4039Publisher
© Taylor and FrancisVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2000Notes
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.ISSN
0020-7543Publisher version
Language
- en