Notice bibliographique
Résumé
A review of: Novotny, Eric. “I Don’t Think I Click: A Protocol Analysis Study of Use of a Library Online Catalog in the Internet Age.” College & Research Libraries, 65.6 (Nov. 2004): 525-37. Objective – To explore how Web-savvy users think about and search an online catalogue. Design – Protocol analysis study. Setting – Academic library (Pennsylvania State University Libraries). Subjects – Eighteen users (17 students, 1 faculty member) of an online public access catalog, divided into two groups of nine first-time and nine experienced users. Method – The study team developed five tasks that represented a range of activities commonly performed by library users, such as searching for a specific item, identifying a library location, and requesting a copy. Seventeen students and one faculty member, divided evenly between novice and experienced searchers, were recruited to “think aloud” through the performance of the tasks. Data were gathered through audio recordings, screen capture software, and investigator notes. The time taken for each task was recorded, and investigators rated task completion as “successful,” “partially successful,” “fail,” or “search aborted.” After the searching session, participants were interviewed to clarify their actions and provide further commentary on the catalogue search. Main results – Participants in both test groups were relatively unsophisticated subject searchers. They made minimal use of Boolean operators, and tended not to repair failed searches by rethinking the search vocabulary and using synonyms. Participants did not have a strong understanding of library catalogue contents or structure and showed little curiosity in developing an understanding of how to utilize the catalogue. Novice users were impatient both in choosing search options and in evaluating their search results. They assumed search results were sorted by relevance, and thus would not typically browse past the initial screen. They quickly followed links, fearlessly tried different searches and options, and rapidly abandoned false trails. Experienced users were more effective and efficient searchers than novice users. They used more specific keyword terms and were more persistent to review their search options and results. Through their prior experience, they knew how to interpret call numbers, branch library location codes, and library terminology such as ‘periodicals’. Participants expected the catalogue to rank results based on relevancy like an Internet search engine. While most were observed to understand intuitively the concept of broadening or narrowing a search, a ‘significant minority’ added a term to an already too-narrow search to improve their search results. When interviewed, participants suggested several ways to improve the catalog search query, such as adding summaries and contents, ranking results by relevance and degree of exact match to search terms, including an Amazon-like “find more like this” feature, and providing context-sensitive and interactive online help, especially at the point when a search has produced too many or too few hits. Conclusions – The study concluded that library catalogue users are heavily influenced by trends in Web searching. No matter what type of search a task called for, the participants tended to expect a simple keyword search to lead to optimal results presented in relevancy-ranked order. Because users do not generally know or care about the structure of a bibliographic record, and many have little concept of what a library catalogue is for or what it contains, Novotny suggests that user instruction needs to address these basics. He also suggests that library professionals and library system vendors must work together to address the clear evidence that library catalogues are failing their users.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,033 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,004 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».