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Plain Language to Minimize Cognitive Load: A Social Justice Perspective

Resource type
Date created
2017-11-17
Authors/Contributors
Abstract
This tutorial explores ethical implications of cognitive load theory and intersectional theory on technical and professional communication, and proposes plain language as an ethical imperative to redress social inequities. Key concepts: When the cognitive load of a learning task is too high and overwhelms working memory, learning is impaired. The greater stress and mental burden that marginalized populations experience can leave less working memory available for reading and learning. Using plain language to reduce cognitive load can be considered a political act that increases marginalized populations' opportunities to understand. Key lessons: 1. Consider whether marginalized populations are part of your audience. 2. Using personas to represent those populations, audit their mental burden to exercise cognitive empathy. 3. Consider reducing cognitive load via plain language an ethical imperative. Implications for practice: Assessing the presence and absence of specific marginalized groups is iterative and takes practice, but developing plain-language communications that accommodate these audiences reduces cognitive load for all readers. And although personas are useful for developing cognitive empathy, nothing replaces user testing in determining your communication's effectiveness.
Document
Published as
Cheung, I. W. (2017). Plain language to minimize cognitive load: A social justice perspective. IEEE Transactions on Professional Communication, 60(4), 448-457. DOI: 10.1109/TPC.2017.2759639
Publication title
IEEE Transactions on Professional Communication
Document title
Plain language to minimize cognitive load: A social justice perspective
Date
2017
Volume
60
Issue
4
First page
448
Last page
457
Publisher DOI
10.1109/TPC.2017.2759639
Copyright statement
Copyright is held by the author(s).
Scholarly level
Peer reviewed?
Yes
Language
English
Member of collection
Download file Size
cheung-ieee.pdf 209.44 KB

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