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Record W2617626082 · doi:10.1145/3033701.3033711

The Interplay of Aesthetics, Usability and Credibility in Mobile Websites and the Moderation by Culture

2016· article· en· W2617626082 on OpenAlex
Kiemute Oyibo, Julita Vassileva

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsUsabilityCredibilityModerationContext (archaeology)PerceptionVariance (accounting)Empirical evidencePsychologyComputer scienceSocial psychologyAestheticsHuman–computer interactionPolitical scienceArtEpistemologyGeographyBusiness

Abstract

fetched live from OpenAlex

The relationships between aesthetics, usability and credibility have been widely investigated in human-computer interaction (HCI). However, in the mobile domain, limited empirical evidence exists showing the interplay among these three constructs and the role culture plays. To address this, we carried out a survey on four systematically designed mobile websites among 233 subjects from Canada and Nigeria, which belong to low- and high-context cultures respectively. Using path modeling, we investigated the relationships among the perceptions of these three HCI constructs and the possible differences that exist between the two cultures. Our results show: 1) it is the perception of aesthetics that predominantly drives the judgment of mobile web credibility at the global and subgroup levels, with the effect size being greater for the Canadian group than for the Nigerian group; 2) the direct effect of aesthetics on usability is moderated by culture, with the magnitude being stronger for the Nigerian group than for the Canadian group; and 3) our models explain 29-83% of the variance of credibility.

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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.272

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.006
GPT teacher head0.263
Teacher spread0.257 · 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

Citations16
Published2016
Admission routes2
Has abstractyes

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