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Record W1522768299

Gathering evidence: use of visual security cues in web browsers

2005· article· en· W1522768299 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicUser Authentication and Security Systems
Canadian institutionsDalhousie University
Fundersnot available
KeywordsComputer scienceIconCertificateWorld Wide WebHuman-computer interaction in information securityWeb browserInternet privacyComputer securityInformation securityHuman–computer interactionThe InternetSoftware security assuranceSecurity service
DOInot available

Abstract

fetched live from OpenAlex

Web browsers support secure online transactions, and provide visual feedback mechanisms to inform the user about security. These mechanisms have had little evaluation to determine how easily they are noticed and how effectively they are used. This paper describes a preliminary study conducted to determine which ele-ments are noted, which are ignored, and how easily they are found. We collected eyetracker data to study user’s attention to browser security, and gathered addi-tional subjective data through questionnaires. Our re-sults demonstrated that while the lock icon is com-monly viewed, its interactive capability is essentially ignored. We also found that certificate information is rarely used, and that people stop looking for security information after they have signed into a site. These initial results provide insights into how browser secu-rity cues might be improved. Key words: usable security, web browsing, visual feed-

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.

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 score0.973
Threshold uncertainty score0.281

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 communication0.0000.001
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 head0.047
GPT teacher head0.303
Teacher spread0.256 · 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

Quick stats

Citations121
Published2005
Admission routes1
Has abstractyes

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