Linear vs. Visual Cognitive Style and Faceted vs. Visual Interaction in Digital Library User Interfaces
Bibliographic record
Abstract
The paper examines the relationships between users’ cognitive and learning styles, their preferences for visual or faceted search user interfaces, and their information seeking strategies, in the context of a user-centred evaluation of two user interfaces for digital libraries, namely Searchling and T-Saurus (Shiri et al. 2011). Both interfaces provide access to multilingual libraries through interfaces that leverage the controlled vocabularies contained in multilingual thesauri.Cette communication examine les liens entre les styles cognitifs et d’apprentissage des utilisateurs, leurs préférences pour des interfaces de recherche visuelle ou par facette ainsi que leurs stratégies de recherche d’information, dans le contexte d’une évaluation centrée sur l’utilisateur de deux interfaces de bibliothèques numériques, soit Searchling et T-Saurus (Shiri et al., 2011). Les deux interfaces donnent accès à des bibliothèques multilingues en misant sur le vocabulaire contrôlé de thésaurus multilingues.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | medium |
| gpt | Scholarly communication Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | medium |
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.004 | 0.020 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".