MABA-MABA or Abracadabra? Progress on Human–Automation Co-ordination

被引：169

作者：

S. W. A. Dekker

D. D. Woods

机构：

[1] Department of Mechanical Engineering,

[2] Linköping Institute of Technology,undefined

[3] Linköping,undefined

[4] Sweden,undefined

[5] Cognitive Systems Engineering Laboratory,undefined

[6] Ohio State University,undefined

[7] Columbus,undefined

[8] Ohio,undefined

[9] USA,undefined

来源：

Cognition, Technology & Work | 2002年 / 4卷 / 4期

关键词：

Key words: Automation – Cognition – Computers – Co-ordination – Function allocation – Human error;

D O I：

10.1007/s101110200022

中图分类号：

学科分类号：

摘要：

In 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?’

引用

页码：240 / 244

页数：4