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Record W4366762602 · doi:10.1145/3587281.3587294

Cognitive Accessibility of Digital Payments: A Literature Review

2023· review· en· W4366762602 on OpenAlexafffund
Jiamin Dai, John Miedema, Sebastian Hernandez, Alexandra Sutton-Lalani, Karyn Moffatt

Bibliographic record

Venuenot available
Typereview
Languageen
FieldSocial Sciences
TopicTechnology Use by Older Adults
Canadian institutionsBank of CanadaMcGill University
FundersMitacs
KeywordsPaymentCurrencyAgency (philosophy)Computer scienceCognitionUniversal designCognitive disabilitiesUser interfaceInternet privacyWorld Wide WebKnowledge managementHuman–computer interactionPsychologySociology

Abstract

fetched live from OpenAlex

Given its current ubiquity in banking and other services, digital payments should be accessible to all, but neurodiverse populations encounter barriers often understudied in research and practice. A greater understanding of user needs across the neurodivergent spectrum will thus improve universal access. To characterize the cognitive accessibility of digital payments, this literature review examines 30 scholarly publications, nuancing the challenges of online banking for older adults and people with neurodiverse needs. Our findings uncover a range of potential design and support strategies, including simplifying interfaces with diversified cues, raising designer awareness and participant involvement, extending third-party support, and leveraging new technological aids. We further discuss implications for digital currency design through support for user agency, collaborative payments, contextualized inclusive approaches, and AI-powered accessible design, hopefully inspiring future research on improving web accessibility.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.920
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.083
GPT teacher head0.431
Teacher spread0.349 · 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 designOther design
Domainnot available
GenreReview

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

Citations21
Published2023
Admission routes2
Has abstractyes

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