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dc.contributor.authorDekker, Sidney
dc.contributor.authorWoods, David D.
dc.date.accessioned2011-09-02
dc.date.accessioned2014-06-19T22:44:30Z
dc.date.accessioned2017-03-02T00:17:07Z
dc.date.available2017-03-02T00:17:07Z
dc.date.issued2002
dc.date.modified2014-06-19T22:44:30Z
dc.identifier.issn1435-5566
dc.identifier.doi10.1007/s101110200022
dc.identifier.urihttp://hdl.handle.net/10072/60702
dc.description.abstractIn this paper we argue that substitution-based function allocation methods (such as MABA-MABA, or Men-Are-Better-At/Machines-Are-Better-At lists) cannot provide progress on human–automation co-ordination. Quantitative ‘who does what’ allocation does not work because the real effects of automation are qualitative: it transforms human practice and forces people to adapt their skills and routines. Rather than re-inventing or refining substitution-based methods, we propose that the more pressing question on human–automation co-ordination is ‘How do we make them get along together?’
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.publisherSpringer
dc.publisher.placeLondon
dc.relation.ispartofpagefrom240
dc.relation.ispartofpageto244
dc.relation.ispartofissue4
dc.relation.ispartofjournalCognition,Technology and Work
dc.relation.ispartofvolume4
dc.subject.fieldofresearchTechnology not elsewhere classified
dc.subject.fieldofresearchInformation Systems
dc.subject.fieldofresearchCognitive Sciences
dc.subject.fieldofresearchcode109999
dc.subject.fieldofresearchcode0806
dc.subject.fieldofresearchcode1702
dc.titleMABA-MABA or Abracadabra? Progress on Human–Automation Co-ordination
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codec1x
gro.facultyArts, Education and Law
gro.hasfulltextNo Full Text
gro.griffith.authorDekker, Sidney


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