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What are use, misuse, disuse and abuse?

Four words from 1997 that separate the operator's failures from the organisation's, and the fourth is the one nobody quotes.

Last reviewed: 17 September 2026

The four terms in the authors' own words, where each now appears with AI, and why abuse is the one that moves the blame.

Question this page answersAll 811 questions this research covers

Nearly every failure this research describes had a name before it had a chatbot. In 1997 Raja Parasuraman and Victor Riley separated the ways people and organisations go wrong with automation into four words, and the separation still does work that newer vocabulary does not, because three of the four belong to the operator and one belongs to whoever installed the system.

The answer, in one line

They are three of the four terms in Raja Parasuraman and Victor Riley's 1997 taxonomy. In their own words, misuse refers to over reliance on automation, which can result in failures of monitoring or decision biases.

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Definition#

Misuse, disuse and abuse: the three failure modes in Raja Parasuraman and Victor Riley's 1997 taxonomy of automation, being over-reliance by the operator, neglect of a capable system, and deployment without regard for the consequences for human performance. The fourth term, use, is the neutral case of switching a system on or off.

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The four words, as the authors set them down#

Their own sentences are short enough to quote whole, and quoting them avoids the drift that has attached to two of the terms since.

Where each one turns up now#

Misuse is the family. Automation bias is the decision half of it and automation complacency the monitoring half, and both were measured after this paper named the category they sit in.

Disuse is algorithm aversion arriving from the human-factors side twenty years earlier, and with a cause attached. Parasuraman and Riley put the blame on alarms that cry wolf, and medicine then ran that experiment at scale: the record of it is at alarm fatigue, where the neglect is documented in deaths rather than in laboratory choices.

Abuse has no modern equivalent in common use, and this research reaches for it more often than for the other three. When a firm removes the junior tasks that were also the training, nobody has misused anything. The system was deployed without asking what the remaining job would consist of, which is the structure Lisa Bainbridge had set out in 1983 and which sits at the ironies of automation.

Why the fourth word is the one to keep#

Three of these terms describe something a person did at a screen. The fourth describes a decision taken in a meeting that person was not in. That asymmetry is the whole reason to carry the taxonomy: it gives a name to the failure that precedes the others and survives any amount of training aimed at the operator.

Parasuraman and Riley go further and say the causation runs that way, that abuse "can also promote misuse and disuse of automation by human operators". Read against current practice, that sentence anticipates the pattern where responsibility for an automated failure settles on whoever was nearest the screen, which is the argument at the moral crumple zone.

What was read, and what was not#

The four definitions above are quoted from the paper's abstract, which is published in full and was read at source on 17 September 2026 along with the complete reference list. The body of the paper sits behind a paywall and was not read. So this page carries the taxonomy and none of the argument or evidence inside it, and the accident cases the authors drew on are visible only as entries in their bibliography, among them the Warsaw A320 overrun of 1993, the Mont Sainte-Odile A320 crash of 1992 and the grounding of the Royal Majesty off Nantucket in 1995. What they concluded from those is not quoted here, because it has not been seen here.

The paper reports no new data. It reviews and organises a literature, so this research grades it as a compiled review and not as a measurement, and nobody should cite it for an effect size. Its value is that it makes four failures nameable and keeps one of them pointed at the organisation.

On misuse, automation bias and automation complacency. On disuse, algorithm aversion and its mirror, algorithm appreciation. On the job automation leaves behind, the ironies of automation. On where the blame settles, the moral crumple zone.

Key sources

About this definition#

Use, misuse, disuse and abuse are Parasuraman and Riley's terms and are not SuperSkills coinages. Rahim Hirji is the author of SuperSkills (Kogan Page, 2026).

Explainer · SS-2026-256 · Graded against the published rubric

Cite this page

Hirji, R. (2026). What are use, misuse, disuse and abuse?. The SuperSkills evidence base, SS-2026-256. https://thesuperskills.com/research/what-are-misuse-disuse-and-abuse. Last reviewed 17 September 2026.

An evidence review by Rahim Hirji, not peer-reviewed research. For a material claim, cite the underlying study as well; every study here carries its own permanent link.

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Questions answered on this page

What are misuse, disuse and abuse of automation?

They are three of the four terms in Raja Parasuraman and Victor Riley's 1997 taxonomy. In their own words, misuse refers to over reliance on automation, which can result in failures of monitoring or decision biases. Disuse is the neglect or underutilization of automation, commonly caused by alarms that activate falsely. Abuse is the automation of functions by designers and implementation by managers without due regard for the consequences for human performance. The fourth term, use, is the neutral case: the voluntary activation or disengagement of automation by human operators.

Why does automation abuse matter more than the other three?

Because it is the only one of the four that locates the failure with the people who bought and installed the system rather than with the person using it. Parasuraman and Riley also argue that abuse causes the other two: automating without regard for the human consequences leaves an operator a job shaped by whatever the machine did not take, and that job produces both over-reliance and neglect. Every other term in this family describes something an individual did.

How do misuse and disuse map onto AI?

Misuse is the family that automation bias and automation complacency belong to: accepting output without the scrutiny it needed. Disuse is the family that algorithm aversion belongs to, and Parasuraman and Riley name its cause: a system that raises alarms too often to be worth attending to. Medicine recorded the same pattern at scale decades later under the name alarm fatigue.

Is Parasuraman and Riley's paper an experiment?

No. It reviews theoretical, empirical and analytical work on human interaction with automation and sets out a framework. It reports no new data of its own, so this research grades it as a compiled review and not as a measurement, and the taxonomy should be cited for its vocabulary and never for an effect size.

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