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Journal ArticleDOI

The phenotype of erroneous actions

TLDR
A logical set of phenotypes is developed and compared with the established "human error" taxonomies as well as with the operational categories which have been developed in the field of human reliability analysis and the trade-off between precision and meaningfulness is discussed.
Abstract
The study of human actions with unwanted consequences, in this paper referred to as human erroneous actions, generally suffers from inadequate operational taxonomies. The main reason for this is the lack of a clear distinction between manifestations and causes. The failure to make this distinction is due to the reliance on subjective evidence which unavoidably mixes manifestations and causes. The paper proposes a clear distinction between the phenotypes (manifestations) and the genotypes (causes) of erroneous actions. A logical set of phenotypes is developed and compared with the established "human error" taxonomies as well as with the operational categories which have been developed in the field of human reliability analysis. The principles for applying the set of phenotypes as practical classification criteria are developed and described. A further illustration is given by the report of an action monitoring system (RESQ) which has been implemented as part of a larger set of operator support systems and which shows the viability of the concepts. The paper concludes by discussing the principal issues of error detection, in particular the trade-off between precision and meaningfulness.

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Citations
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Journal ArticleDOI

Using Formal Verification to Evaluate Human-Automation Interaction: A Review

TL;DR: This paper discusses how formal verification has been used to evaluate HAI, using it to evaluate human-automation interfaces for usability properties and to find potential mode confusion.
Journal ArticleDOI

Comparison of evaluation methods using structured usability problem reports

TL;DR: It is shown that the matching of predicted and actual problems requires careful attention, and that current approaches lack rigour or generality, and a solution is presented: a new report structure for usability problems.
Journal ArticleDOI

The investigation and analysis of critical incidents and adverse events in healthcare.

TL;DR: There is considerable potential for further development of techniques, the utilisation of a wider range of techniques and a need for validation and evaluation of existing methods which would make incident investigation more versatile and use limited resources more effectively.
BookDOI

Foundations for Designing User-Centered Systems

TL;DR: This chapter introduces this argument through example design problems, and presents the benefits and costs associated with understanding the user, and two approaches for understanding users are introduced.
Journal ArticleDOI

A fuzzy Bayesian network approach to improve the quantification of organizational influences in HRA frameworks

TL;DR: The results show that the proposed methodology of combining the conceptual causal model with BN approach can not only qualitatively model the causal relationships between organizational factors and human reliability but also can quantitatively measure human operational reliability.