Identifying how automation can lose its intended benefit along the development process: A research plan

Abstract

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.

Contributors

Simone Rozzi

Paola Amaldi

Barry Kirwan

Conference

Publication date: June 2009

Publication date (Print): June 2009

Pages: 384-389

Affiliations

[ ¹ ]Interaction Design Center

School of Engineering and Information Science

Middlesex University

London, UK

[ ² ]EUROCONTROL Experimental Center

Bretigny-sur-Orge CEDEX

France

Article

DOI: 10.14236/ewic/NDM2009.63

Copyright statement: © Simone Rozzi et al. Published by BCS Learning and Development Ltd. 9th Bi-annual International Conference on Naturalistic Decision Making (NDM9), BCS London

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: 9th Bi-annual International Conference on Naturalistic Decision Making (NDM9)

Conference acronym: NDM

Conference number: 9

Conference location: BCS London

Conference date: 23 - 26 June 2009

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Naturalistic Decision Making (NDM9)

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/NDM2009.63

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing