Claims

Future anti-phishing interventions should measure both performance and metacognition, aiming to shift the phishing calibration curve toward the legitimate-email pattern

Claim · All claims
Evidence · 1 study · causal r1 · q1
Currency · newest study 2019 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q1 i? The article recommends that future studies developing anti-phishing interventions investigate both performance and metacognition metrics to understand how users shift decision-making strategies. → Casey Inez Canfield & Baruch Fischhoff & Alex Davis 2019

Evidence

Casey Inez Canfield & Baruch Fischhoff & Alex Davis 2019

Casey Inez Canfield & Baruch Fischhoff & Alex Davis. (2019). Better beware: comparing metacognition for phishing and legitimate emails. Metacognition and Learning. https://doi.org/10.1007/s11409-019-09197-5

q1 · i? · causal · r1

Authors' forward-looking recommendation in the Implications for interventions section, grounded in the observed disparity in metacognitive performance between legitimate and phishing emails. They also propose within-subject analysis of which phishing features make messages deceptive.

"Future studies developing anti-phishing interventions should investigate both performance and metacognition metrics to understand how users are shifting their decision-making strategies. If successful, an intervention might make the calibration curve for phishing messages look more like the curve for legitimate emails."

Discussion

Page metadata
Field Value
type claim
id measure-performance-and-metacognition-in-interventions
title Future anti-phishing interventions should measure both performance and metacognition, aiming to shift the phishing calibration curve toward the legitimate-email pattern
description Future anti-phishing interventions should measure both performance and metacognition, aiming to shift the phishing calibration curve toward the legitimate-email pattern
status review
evidence_strength weak
newest_evidence 2019
generated by process:wiki-ingest on 2026-10-18
trust unverified — no one has confirmed this page's content
sources 1 — casey-inez-canfield-baruch-fischhoff-alex-davis-2019

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