Research explained

Read the evidence without turning it into a legal shortcut.

These explainers translate Australian and international studies into practical reading for legal, product, UX, compliance and engineering teams. Each page shows what was measured, what the authors found and where the conclusion stops. A research label does not establish the complete section 28B test or any other Australian contravention.

Dark-pattern types examined16
GUI agents in phase one6
Study phases2
Selected values from the reviewed study. Open the guide for the method, denominator and limits.

Peer-reviewed study

When an AI agent shops or subscribes, who notices the manipulation?

The 2026 CHI study on GUI agents and dark patterns translated for Australian pricing, subscription and cancellation journeys.

Original work
2026
Method
Six GUI agents in phase one and 16 dark-pattern types across diverse controlled tasks.
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Institutional research

What Australia’s “Patterns in the dark” report adds to the debate

The University of South Australia’s commissioned landscape review explained: its taxonomy, Consumer Data Right context and the limits noted during official discussion.

Original work
2024
Method
Published deceptive-pattern research and regulatory taxonomies reviewed for an Australian data-sharing and consent setting.
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At least one negative consequence83%
Aware organisations use influencing design58%
Stopped using a site or app30%
Selected values from the reviewed study. Open the guide for the method, denominator and limits.

Institutional research

What 2,000 Australians said dark patterns cost them

The CPRC survey behind “Duped by design” explained: reported financial, privacy and trust consequences, the ten tested patterns and the limits of self-reported evidence.

Original work
2022
Method
2,000 Australian consumers, with findings reported for the full sample and selected age groups.
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Neutral interface11.3%
Mild dark patterns25.8%
Aggressive dark patterns41.9%
Selected values from the reviewed study. Open the guide for the method, denominator and limits.

Peer-reviewed study

Why the quietest manipulation may deserve the closest review

The Luguri and Strahilevitz experiments for Australian teams: strong behavioural effects, weaker backlash to mild designs and careful limits on legal translation.

Original work
2021
Method
Census-weighted samples of adult participants in the United States.
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Peer-reviewed study

Knowing a dark pattern is there may not help people resist it

A 406-person study found that people could recognise manipulative design yet remain vulnerable or uncertain about harm, challenging “just inform users” responses.

Original work
2021
Method
406 survey participants, with analysis including age-related differences in recognition and perceived harm.
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Product pages analysed≈53,000
Shopping websites≈11,000
Pattern instances identified1,818
Selected values from the reviewed study. Open the guide for the method, denominator and limits.

Peer-reviewed study

Why automated dark-pattern detection still needs a journey review

The 11,000-site crawl remains a foundation for automated detection, but Australian teams need authenticated journeys, operating evidence and legal review beyond page signals.

Original work
2019
Method
Approximately 53,000 product pages on about 11,000 shopping websites.
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