Review · 1997
Humans and Automation: Use, Misuse, Disuse, Abuse
Parasuraman R, Riley V
What it found
Names the ways people get automation wrong: misuse (relying on it too much), disuse (ignoring it, often after false alarms) and abuse (automating without regard for the people who have to work with it).
Where the evidence stops
A conceptual review drawn largely from aviation and industrial settings.
How it shapes Pursue
Pursue
False alarms teach people to ignore a system. Every unnecessary Pursue signal makes the next useful one weaker.
A design input, not evidence that Pursue works.
Cited in
- 01Should I trust an AI's advice about how to spend my day?Trust it as far as it has earned, and no further. Across six experiments, people followed advice more readily when they believed it came from an algorithm rather than a person (Logg et al., 2019), yet watching an automated aid make mistakes made them distrust even a reliable one (Dzindolet et al., 2003).Trust and uncertainty
- 02When is it better for an AI assistant to say nothing?Whenever speaking would cost more attention than it gives back: when the person can't take it in, the evidence is thin, or nothing needs to change. The 2018 framework for just-in-time support (Nahum-Shani et al.) counts giving nothing as a designed option, and declining uncertain cases makes a system's other answers more reliable (Geifman and El-Yaniv, 2017).Timing and receptivity