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Record W4405445367 · doi:10.1075/ml.24014.gow

The influence of uppercase letter location on typing multiword passphrases

2024· article· en· W4405445367 on OpenAlexafffund
Keira Gow, Alexander Taikh

Bibliographic record

VenueThe Mental Lexicon · 2024
Typearticle
Languageen
FieldComputer Science
TopicUser Authentication and Security Systems
Canadian institutionsBrock UniversityConcordia University of Edmonton
FundersConcordia University of Edmonton
KeywordsWord (group theory)Computer scienceNatural language processingArtificial intelligenceLinguisticsSpeech recognition

Abstract

fetched live from OpenAlex

Abstract Organizational policies for passwords and passphrases require certain criteria, such as minimum length or uppercase letters, to be met, often resulting in a tradeoff between complexity and ease of typing. Uppercase letters, specifically, lead to slower and more error prone entries. Our present study examined their influence on the typing of three-word passphrases. We were interested in whether uppercase letter location, which should not influence passphrase security, would influence its typing. Passphrases with no uppercase letter were typed more accurately and quickly than passphrases with an uppercase letter. Importantly, passphrases with an uppercase letter in the second word were more likely to be typed incorrectly, and were typed more slowly when entered correctly. Our findings are consistent with the linguistic information of adjacent words influencing the output of the word being typed, where an altered second word interfered with the output of both the first and second words.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.704
Threshold uncertainty score0.251

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.267
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes2
Has abstractyes

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