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Record W1592445155 · doi:10.18438/b89p6q

Web Usability Policies/Standards/Guidelines (PSGs) do not Influence Practices at ARL Academic Libraries

2009· article· en· W1592445155 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEvidence Based Library and Information Practice · 2009
Typearticle
Languageen
FieldComputer Science
TopicWeb and Library Services
Canadian institutionsnot available
Fundersnot available
KeywordsUsabilityWeb usabilityLikert scaleWorld Wide WebComputer sciencePhoneLibrary sciencePsychology

Abstract

fetched live from OpenAlex

A Review of:
 Chen, Yu-Hui, Carol Anne Germain and Huahai Yang. “An Exploration into the Practices of Library Web Usability in ARL Academic Libraries.” Journal of the American Society for Information Science and Technology 60.5 (2009): 953-68.
 
 Objective – To survey the current status of Web usability Policies/Standards/Guidelines (PSGs) found in academic libraries of the Association of Research Libraries (ARL). Researchers sought to investigate whether PSGs are in place, the levels of difficulty surrounding implementation, the impact of PSGs on design, testing, and resource allocation, and the relationship between ARL ranking and usability practice or PSGs. 
 
 Design – Survey.
 
 Setting – North America.
 
 Subjects – Academic libraries of the ARL.
 
 Methods – An 18-question survey consisting of multiple choice, Likert scale, and open-ended questions was sent to all 113 ARL libraries in November 2007. Survey recipients were selected as the person in charge of Web site usability by visiting library Web sites and phone inquiry. The survey was concluded in January 2008 with a response rate of 74% (84 institutions). The researchers used t-test to detect any difference in ARL library ranking between libraries with and without PSGs. Pair-wise t-tests were conducted to identify gaps in difficulty implementing PSGs. In addition, they used Pearson’s Correlation to investigate any significant correlations between variables such as ARL rank and resource allocation. 
 
 Main Results – Of the 84 respondents, 34 (40%) have general library Web PSGs and 25 (30%) have specific usability PSGs; 41 (49%) have at least one type of in-library PSG. Of the 43 (51%) libraries that do not have PSGs, 30 (36%) are at universities with institutional Web usability PSGs; 26 (87%) follow those guidelines. There was no statistically significant relationship between ARL ranking and PSG status (see Table 1). 
 
 
 The authors asked about difficulty in implementing PSGs. Of the 32 libraries responding to a question about general library Web PSGs, most had slight or moderate difficulty. Twenty-three libraries with specific usability PSGs identified difficulty levels; some had no difficulty, but a majority had moderate difficulty. For the 26 libraries using institutional Web usability PSGs, most had no or slight difficulty. Pair-wise t-tests showed that library Web usability PSGs were significantly more difficult to implement than university Web usability PSGs. 
 
 Enforcement/agreement issues were reported as the primary difficulty in implementing in-library PSGs. Technical issues and ambiguity were obstacles at the institutional level. More than half of the 84 libraries have Web advisory committees and about one third have usability committees or Web usability subcommittees. Several libraries answered that they have none of these committees, but indicated that they have some sort of ad hoc committee or user study group to address usability issues.
 
 Of the 84 respondents, 71 (85%) have conducted usability testing. Sixty-two libraries (73.8%) rated usability testing as important, very important, or extremely important: the rate given for the importance of usability testing did not correlate with ARL ranking. Cited most often in open ended questioning 
 were the importance of iterative testing, library wide buy-in, and staff and resource availability. Main web pages were tested most 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 frequently. Fifty-three libraries (74.6%) tested their lower level pages at least once. OPACs were tested the least often. The amount of testing was impacted neither by the existence of library Web PSGs nor usability PSGs. The top two testing methods were in-person observation and think aloud protocol. 
 
 Of the 84 libraries, 24 (28%) reported having staff dedicated to Web usability issues; twenty full-time staff and four part-time staff. There was a weak association between ARL ranking and hours worked by dedicated staff; no association existed for regular staff who take on Web responsibilities. Fifty-one (60%) of libraries had regular staff whose duties included Web usability; forty-six full-time and five part-time. Training did not correlate to amount of testing methods used. There was a weak link between ALR ranking and availability of resources and, the authors showed, more testing was done as resources increased. In response to a query about future Web usability plans, the focus was on usability testing and site redesign, with only three libraries planning to refine or establish usability PSGs.
 
 Conclusion – The authors hypothesized that “web usability PSGs would influence usability practice within libraries and other institutions” (953). The data show that PSGs do not influence practices. The authors conclude that there is no significant relationship between PSGs and testing practices or PSGs and the availability of resources. Likewise, ARL ranking had no effect on the establishment of usability PSGs. Most libraries are conducting usability testing, and there was a weak link between ARL ranking and availability of testing resources. Highlighted in the open-ended questions is the lack of usability expertise among stakeholders. Workload, inadequate human resources, and lack of organizational cohesion are also cited as barriers to the adoption of Web usability PSGs. The authors speculate that Web professionals likely use their own working knowledge and internalized guidelines without having formal documentation. The authors further speculate that the difficulty related to creating mental models that adequately represent library tasks may hinder the use of formal usability PSGs. Additionally, libraries may not regard the lack of usability PSGs as a liability, especially in light of the lack of government mandates or standards. The authors recommend educational efforts for key players on the value of Web usability, support for hiring dedicated staff, and formal documentation to guide design practice. The authors plan to compare the collected PSGs in an upcoming project. Future research could focus on non-ARL libraries, the relationship between PSGs and user experience, and Content Management System (CMS) usability characteristics.

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)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.919
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0030.644
Open science0.0020.001
Research integrity0.0000.001
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 head0.028
GPT teacher head0.315
Teacher spread0.287 · 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