Two high-level abstraction networks for the knowledge content of a terminology, known respectively as the "area taxonomy" and "p-area taxonomy," have previously been defined. Both are derived automatically from partitions of the terminology's concepts. An important application of these networks is in auditing, where a number of systematic regimens have been formulated utilizing them. In particu...

Accident and incident analysis is essential to the study of human error and the development of error prevention measures. Human Error research deals essentially with the classification of error and the identification of the causal relation between the error detected and the level of human performance at which it occurred. As a result the literature proposes many error categorization methods and...

This paper advocates the adoption of deferred error coding within computer science curricula. It argues that it is both a sound development strategy and aligns well pedagogically. By deferring specific error handling, the student better appreciates its subtleties and its importance as an independent topic. This paper also includes other topics which may enhance curricula: taxonomies of exceptio...

This paper proposes an evidence-based process and engineering design tool for linking human error identification taxonomies, and human error prevention and mitigation design principles with the system engineering design process. The process synthesizes the design evidence generated and used during the design and analysis process to clearly demonstrate that credible error threats have been ident...

The study of student error, important across many fields of educational research, has begun to attract interest in the field of e-learning, particularly in relation to usability. However, it remains unclear when errors should be avoided (as usability failures) or embraced (as learning opportunities). Many domains have benefited from taxonomies of error; a taxonomy of e-learning error would help...

A dialogue-based explanation facility for Intelligent CALL (ICALL) Systems is introduced. Our prototype system, DiBEx, uses meta reasoning to build up an explanation (error) tree, given a faulty user input. It relies on correct grammar sub theories, instead of explicit error taxonomies. The system enters in a tutorial dialogue with the student, where each explanation step is based on the princi...

The goal of human factors engineering is to optimize the relationship between humans and systems by studying human behavior, abilities, and limitations and using this knowledge to design systems for safe and effective human use. With the assumption that the human component of any system will inevitably produce errors, human factors engineers design systems and human/machine interfaces that are ...