A framework-based approach to identifying and organizing the complexity factors of human-system interaction
Article
Ham, D., Park, J. and Jung, W. 2011. A framework-based approach to identifying and organizing the complexity factors of human-system interaction. IEEE Systems Journal. 5 (2), pp. 213-222. https://doi.org/10.1109/JSYST.2010.2102574
Type | Article |
---|---|
Title | A framework-based approach to identifying and organizing the complexity factors of human-system interaction |
Authors | Ham, D., Park, J. and Jung, W. |
Abstract | As the nature of human interaction with modernized socio-technical systems is increasingly cognitive and complex, many studies have been devoted to examine a range of complexity factors influencing human cognitive performance. However, there is a lack of theoretical basis of discerning and categorizing those factors. It is thus inevitable to establish a conceptual framework that can be used to identify and organize the complexity factors in an analytical way. In this paper, we regard the world of complexity factors as an abstract system and propose a new framework consisting of five views, each of which is concerned with certain aspects of the abstract system. To develop the framework more systematically, we conducted a comprehensive literature review and applied a system thinking approach to deriving a set of requirements to be satisfied by the framework. Of those five views, we particularly emphasize the roles of knowledge view. Thus a complexity factor model based on the knowledge view is also proposed. We describe two possible uses of the framework and the complexity factor model, which are the analytical identification of the complexity factors and the systematic assessment of the complexity factors identified by earlier studies. |
Keywords | Complex system; complexity factors; human-system interaction; task complexity |
Sustainable Development Goals | 9 Industry, innovation and infrastructure |
Middlesex University Theme | Creativity, Culture & Enterprise |
Publisher | IEEE |
Journal | IEEE Systems Journal |
ISSN | 1932-8184 |
Electronic | 1937-9234 |
Publication dates | |
Jun 2011 | |
Online | 28 Jan 2011 |
Publication process dates | |
Submitted | 15 Mar 2010 |
Accepted | 22 Nov 2010 |
Deposited | 18 Sep 2024 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1109/JSYST.2010.2102574 |
Web of Science identifier | WOS:000290991900007 |
Language | English |
https://repository.mdx.ac.uk/item/16w2q0
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