Forecast Possible Accident Sequences within a Safety-Critical Computing System

Predicting potential accident sequences in human-computer interaction within safety-critical computing systems is crucial for identifying and eliminating vulnerable points. To address this, we propose a Multi-Context Human–Computer Interaction Model along with analytical techniques such as Augmented Fault Tree Analysis and Concurrent Event Tree Analysis. The augmented fault tree helps identify weak points in software design that could lead to unintended software behaviors or incorrect human procedures. Meanwhile, the concurrent event tree method allows for the enumeration of possible accident sequences stemming from these vulnerabilities.

Keywords:

Human–computer interaction , Accident sequence , Tree analysis , Augmented fault.