This literature review should be framed around vigilance training specifically. The phrase “vigilance training” is not consistently used, so I want to record this idea and connect it to existing literature. For paper purposes, I am thinking about “vigilance training” as the method of exposing people to high-frequency signals in an artificial context, which improves their ability to detect signals when they are rare in real life. This is also called embedded training (in phishing literature) and Wolfe has done a lot of work related to it (he calls it “high prevalence search with feedback”). We can talk about other types of training for the sake of comparison, but I want to centre this type of training.
In this review, we want to understand the trends in training for vigilance and situational awareness across domains. What have we figured out in one domain (e.g. security screening) that has not been applied in another domain (e.g. power system)? For example, is feedback important or not? Do you need feedback about correct rejections? Or just misses? We’re particularly interested in work related to implementing this training in complex systems (like the power system). What types of training work in complex vs. simple systems?
We want to look at both laboratory and field studies.
I’m imagining a Results section along the lines of:
Types of Training
Information-based training (e.g. annual IT training videos)
Interactive training (e.g. a game where you do stuff)
Vigilance training (high-frequency signal exposure)
Also called embedded training, high prevalence search with feedback
Features of Vigilance Training
Role of Feedback
Length of Exposure
Frequency of Exposure
Other elements??
Effect of System Complexity
Visual Search
Visual and Auditory Signals
Overlapping Signals (Information Overload)
Lack of Alarm (similar to cyberattack condition)