Computers in Human Behavior Submission Guide
A practical Computers in Human Behavior (CHB) submission guide for digital-behavior researchers evaluating their work against the journal's psychological-rigor bar.
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Quick answer: This Computers in Human Behavior submission guide is for digital-behavior researchers evaluating their work against the journal's psychological-rigor bar. CHB is selective (~20-25% acceptance, 40-50% desk rejection). The editorial standard requires substantive psychological or behavioral contributions to understanding technology-behavior interactions, not descriptive technology studies.
If you're targeting CHB, the main risk is descriptive framing, weak theoretical grounding, or methodological gaps.
From our manuscript review practice
Of submissions we've reviewed for Computers in Human Behavior, the most consistent desk-rejection trigger is descriptive technology adoption studies without rigorous psychological or behavioral analysis.
How this page was created
This page was researched from CHB's author guidelines, Elsevier editorial-policy materials, Clarivate JCR data, SciRev community reports, and Manusights internal analysis of submissions to CHB and adjacent venues.
CHB Journal Metrics
Metric | Value |
|---|---|
Impact Factor (2024 JCR) | 9.0 |
5-Year Impact Factor | ~10+ |
CiteScore | 22.0 |
Acceptance Rate | ~20-25% |
Desk Rejection Rate | ~40-50% |
First Decision | 4-8 weeks |
APC (Open Access) | $3,690 (2026) |
Publisher | Elsevier |
Source: Clarivate JCR 2024, Elsevier editorial disclosures (accessed April 2026).
CHB Submission Requirements and Timeline
Requirement | Details |
|---|---|
Submission portal | Elsevier Editorial Manager |
Article types | Research Paper, Review |
Article length | 8,000-12,000 words typical |
Cover letter | Required |
First decision | 4-8 weeks |
Peer review duration | 8-14 weeks |
Source: CHB author guidelines.
Submission snapshot
What to pressure-test | What should already be true before upload |
|---|---|
Psychological or behavioral contribution | Manuscript advances understanding of psychological or behavioral processes |
Theoretical grounding | Engagement with established psychological or behavioral theory |
Methodological rigor | Adequate sample, validated measures, appropriate statistical analysis |
Technology-behavior focus | Technology-behavior interaction is primary contribution |
Cover letter | Establishes the psychological or behavioral contribution |
What this page is for
Use this page when deciding:
- whether the contribution is psychological or behavioral
- whether theoretical grounding is rigorous
- whether methodology is adequate
What should already be in the package
- a clear psychological or behavioral contribution
- theoretical grounding in established psychological or behavioral theory
- rigorous methodology with adequate sample, validated measures, and appropriate analysis
- technology-behavior focus as primary contribution
- a cover letter establishing the psychological or behavioral contribution
Package mistakes that trigger early rejection
- Descriptive technology adoption studies without behavioral analysis.
- Weak theoretical grounding.
- Methodological gaps (small samples, weak measures, inadequate analysis).
- Pure technology studies without behavioral focus.
What makes CHB a distinct target
CHB is the flagship technology-behavior research journal.
Psychological-rigor expectation: the journal differentiates from technology-focused journals by demanding psychological or behavioral rigor.
Theoretical-grounding expectation: editors expect engagement with established psychology or behavioral theory.
The 40-50% desk rejection rate: decisive editorial screen.
What a strong cover letter sounds like
The strongest CHB cover letters establish:
- the psychological or behavioral contribution
- the theoretical grounding
- the methodological approach
- the central finding
Diagnosing pre-submission problems
Problem | Fix |
|---|---|
Descriptive framing | Add psychological or behavioral analysis |
Weak theoretical grounding | Strengthen engagement with established theory |
Methodological gaps | Expand sample, validate measures, improve analysis |
Readiness check
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See score, top issues, and journal-fit signals before you submit.
How CHB compares against nearby alternatives
Method note: the comparison reflects published author guidelines and Manusights internal analysis. We have not personally been CHB authors; the boundary is publicly documented editorial behavior. Pros and cons are based on documented editorial scope.
Factor | Computers in Human Behavior | Cyberpsychology, Behavior, and Social Networking | Behaviour and Information Technology | Journal of Computer-Mediated Communication |
|---|---|---|---|---|
Best fit (pros) | Psychology of technology use with broad scope | Cyberpsychology and online behavior | Behavioral research on technology | Computer-mediated communication research |
Think twice if (cons) | Topic is descriptive or applied | Topic is broader behavioral | Topic is comprehensive psychology | Topic is broader technology-behavior |
Submit If
- the contribution is psychological or behavioral
- theoretical grounding is rigorous
- methodology is adequate
- technology-behavior focus is primary
Think Twice If
- the manuscript is descriptive technology adoption
- theoretical grounding is weak
- the work fits Cyberpsychology or specialty venue better
What to read next
Before upload, run your manuscript through a CHB psychological rigor readiness check.
In our pre-submission review work with manuscripts targeting Computers in Human Behavior
In our pre-submission review work with technology-behavior manuscripts targeting CHB, three patterns generate the most consistent desk rejections.
In our experience, roughly 35% of CHB desk rejections trace to descriptive framing without behavioral analysis. In our experience, roughly 25% involve weak theoretical grounding. In our experience, roughly 20% arise from methodological gaps.
- Descriptive technology adoption studies without behavioral analysis. CHB editors look for psychological or behavioral contributions, not just technology adoption data. We observe submissions reporting adoption rates or usage patterns without behavioral analysis routinely desk-rejected.
- Weak theoretical grounding. Editors expect engagement with established psychological or behavioral theory. We see manuscripts reporting empirical findings without theoretical grounding routinely declined.
- Methodological gaps. CHB specifically expects rigorous methodology with adequate samples, validated measures, and appropriate statistical analysis. We find papers with small samples, ad-hoc measures, or weak analysis routinely returned. A CHB psychological rigor readiness check can identify whether the package supports a submission.
Clarivate JCR 2024 bibliometric data places CHB among top technology-behavior journals.
What we look for during pre-submission diagnostics
In pre-submission diagnostic work for top technology-behavior journals, we consistently see four signals that distinguish strong submissions from weak ones. First, the contribution must be psychological or behavioral, not descriptive; submissions reporting only technology adoption or usage patterns fail at desk screening. Second, theoretical grounding should engage with established psychology or behavioral theory. Third, methodology should include adequate sample size, validated measures, and appropriate statistical analysis. Fourth, the technology-behavior focus should be primary; pure technology studies fit specialty venues better.
How psychological framing matters
The single most consistent feedback class we deliver in pre-submission diagnostics for CHB is the descriptive-versus-psychological distinction. CHB editors expect psychological or behavioral analysis, not just technology adoption studies. Submissions framed as "we measured how often users engage with feature X" routinely receive "where is the psychology?" feedback during desk screening. We coach authors to lead with the psychological or behavioral question and frame the technology in service of that question. Papers framed as "we tested whether mechanism X explains the relationship between technology use Y and outcome Z, drawing on theoretical framework W" receive better editorial traction. The same logic applies across rigorous technology-behavior journals: editors are operating with limited slot inventory, and the submissions that get traction lead with the psychological question.
Common pre-submission diagnostic patterns we encounter
Beyond the rubric checks, three pre-submission diagnostic patterns recur most often in the manuscripts we review for CHB. First, manuscripts where the abstract emphasizes technology features rather than psychological or behavioral processes are flagged at desk for descriptive framing. We recommend the abstract's central sentences state the psychological or behavioral question, the theoretical framework, and the central finding. Second, manuscripts where measures are ad-hoc rather than validated scales are flagged for measurement gaps. We recommend using validated psychological measures where appropriate. Third, manuscripts that lack engagement with CHB's recent issues are at risk of being told the contribution doesn't fit the publication conversation.
Frequently asked questions
Submit through Elsevier Editorial Manager. CHB accepts unsolicited Research Papers and Reviews on technology-behavior interactions. The cover letter should establish the psychological or behavioral contribution and methodological rigor.
CHB's 2024 impact factor is around 9.0. Acceptance rate runs ~20-25% with desk-rejection around 40-50%. Median first decisions in 4-8 weeks.
Original research on psychology of technology use: social media psychology, online communication, AI-human interaction, gaming psychology, technology and well-being, online learning psychology, and digital behavior change. The journal expects rigorous psychological or behavioral research methodology.
Most reasons: weak psychological or behavioral framing, descriptive technology adoption studies without behavioral analysis, missing theoretical grounding, methodological gaps (small samples, weak measures), or scope mismatch.
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