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Identifying how automation can lose its intended benefit along the development process: A research plan
Author(s) -
Simone Rozzi,
Paola Amaldi,
Barry Kirwan
Publication year - 2009
Publication title -
electronic workshops in computing
Language(s) - English
Resource type - Conference proceedings
ISSN - 1477-9358
DOI - 10.14236/ewic/ndm2009.63
Subject(s) - automation , process (computing) , risk analysis (engineering) , plan (archaeology) , productivity , computer science , originality , process management , process automation system , domain (mathematical analysis) , engineering , business , creativity , economics , psychology , mechanical engineering , mathematical analysis , mathematics , macroeconomics , archaeology , history , operating system , social psychology
Motivation - Automation can fail to deliver the target safety or productivity benefit as intended by those managers and designers advocating its introduction. In a safety critical domain this problem is of significance not only because the unexpected effects of automation might prevent its widespread usage but also because they might turn out to be a contributor to incident and accidents. Originality/value - Research on failures of automation to deliver the intended benefit has focused mainly on human automation interaction. This PhD research plan aims at characterizing decisions - taken under productive pressure - for those involved in the automation development process, to identify where and when the initial intention the automation is supposed to deliver can drift from the initial idea. Expected Finding - The objective is to develop Anti-Drift Principles to identify and compensate proactively for possible sources of drift in the development of new automation. Research Approach - The research is based on case study and is currently entering Year 2.

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