Evidence map›Paper›PMID 42658395›Full record

ArticleAnnals of biomedical engineering2026

SSS Framework: A Think-First, AI-Second Model for AI-Assisted Writing.

Louie Giray

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In one paragraph

Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Louie GirayDepartment of Liberal Arts, School of Foundational Studies and Education, Mapúa University, Manila, Philippines. lggiray@mapua.edu.ph.ORCID http://orcid.org/0000-0002-1940-035X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is remarkable how quickly AI has become woven into the ways we think, write, and create, bringing renewed attention to intellectual autonomy and the long-term consequences of relying too heavily on algorithms. In this paper, I argue that effective human-AI collaboration depends on a deliberate sequence: human cognition must come first, before AI assistance enters the process. Inspired by Marcus Aurelius' sphere of control, empirical cognitive science on desirable difficulties, and the growing literature on automation bias, I propose the SSS framework, a structured, three-phase model in AI-assisted writing comprising the following: (1) Set an AI-Free Zone, (2) Struggle, and (3) Spar with AI. The framework operationalizes a think-first, AI-second model that has been independently supported by recent empirical research demonstrating that think-first AI interaction models preserve and enhance independent cognitive performance beyond task completion. Unlike traditional cognitive offloading models or uncritical human-AI collaboration paradigms, SSS framework introduces productive friction as an intentional design principle, countering both automation bias and epistemic erosion. The framework also addresses the ethical imperatives of AI adoption (e.g., algorithmic bias, transparency deficits, deification of technology) through user-centered, agency-preserving engagement. Pedagogical implications and boundary conditions for applying SSS across varying task complexity and user expertise are discussed.

Indexed as

Artificial intelligenceAutomation biasCognitive offloadingDeification of technologyDesirable difficultyHuman–AI collaborationIntellectual autonomyProductive frictionSituation modificationSSS framework

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.