ITAL Information Technology and Libraries (E-Journal)
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Improving the Student Search Experience in LibGuides
Get PDFThis study is an in-depth look at the use of the LibGuides search function by college students. We sought to better understand the mental models with which they approach these searches and to improve their user experience by reducing the percentage of searches with no results. We used two research methods: usability testing, which involved 15 students in two rounds, and analysis of search terms and search sessions logged during three different weeks. Interface changes were made after the first round of usability testing and our analysis of the first week of search data. Additional changes were made after the second round of usability testing and analysis of the second week of search data.
The usability tests highlighted a mismatch between the LibGuides search behavior and the expectations of student users. Results from both rounds of testing were very similar. The search analysis showed that the level of no-result searches was slightly lower after the interface changes, with most of the improvement seen in Databases A-Z searches. Within the failed searches, we saw a reduction in the use of topic keywords but no improvement in the other causes we studied. The most significant change we observed was a drop in the level of search activity.
This research provides insights that are specific to the LibGuides platform—about the underlying expectations that students bring to it, how they search it, and the reasons why their searches do and do not produce results. We also identify possible system improvements for both academic libraries and Springshare that could contribute to an improved search experience for student users.
The Jack in the Black Box: Teaching College Students to Use ChatGPT Critically
Get PDFThis essay reviews the design and deployment of a critical generative AI and information literacy assignment along with its inspirations for instructional librarians in American colleges today
Supporting Information Visualization Research in an Academic Library: Lessons Learned from an Analysis of the Literature
Get PDFThis paper summarizes librarian research on information visualization as well as general trends in the broader field, highlighting the most recent trends, important journals, and which subject disciplines are most involved with information visualization. By comparing librarian research to the broader field, the paper identifies opportunities for libraries to improve their information visualization support services
Hidden Inequities of Access: Document Accessibility in an Aggregated Database
Get PDFDespite ongoing efforts to improve database accessibility, aggregated database vendors concede that they do not have complete control over document accessibility. Instead, they point to the responsibility of journal publishers to deliver articles in an accessible format. This may increase the likelihood that users with disabilities will encounter articles that are not compatible with a screen reader. To better understand the extent of the problem, a document accessibility audit was conducted of randomly selected articles from EBSCO’s Library & Information Source database. Full-text articles from 12 library science journals were evaluated against two measures of screen reader compatibility: HTML format (the optimal format for screen readers) and PDF accessibility conformance. Findings showed inconsistencies in HTML format availability for articles in the selected journals. Additionally, the entire sample of PDF articles failed to meet the minimum standard of PDF Universal Accessibility of containing a tagged structure. However, all PDF articles passed accessibility permissions tests, so could be made accessible retroactively by a third party
On-Demand Circulation of Software Licenses: Checking Out Software on Patrons’ Own Devices
Get PDFThe Miami University Libraries (MUL) developed an open-source Software Checkout system to allow patrons to make use of software licenses owned by the library. The system takes advantage of user-based licensing under the Software as a Service (SaaS) license model and vendor-created APIs to easily and legally assign access to users. The service currently supports Adobe Creative Cloud, Final Cut Pro, and Logic Pro software. MUL has successfully used this software for three years. This article describes the expansion of offerings and the increasing use of the service over that time. Built on a model developed by Pixar for managing employee software licenses, the Software Checkout system is believed to be the first of its kind for circulating licenses to library patrons. Both this lending model and the open-source software developed by MUL are available to other libraries. This paper is intended to prompt libraries to take advantage of the legal and technical environment to expand software license sharing to other libraries
It Takes a Village: A Distributed Training Model for AI-Based Chatbots
Get PDFThe introduction of Large Language Models (LLM) to the chatbot landscape has opened intriguing possibilities for academic libraries to offer more responsive and institutionally contextualized support to users, especially outside of regular service hours. While a few academic libraries currently employ AI-based chatbots on their websites, this service has not yet become the norm and there are no best practices in place for how academic libraries should launch, train, and assess the usefulness of a chatbot. In summer 2023, staff from the University of Delaware’s Morris Library information technology (IT) and reference departments came together in a unique partnership to pilot a low-cost AI-powered chatbot called UDStax. The goals of the pilot were to learn more about the campus community’s interest in engaging with this tool and to better understand the labor required on the staff side to maintain the bot. After researching six different options, the team selected Chatbase, a subscription-model product based on ChatGPT 3.5 that provides user-friendly training methods for an AI model using website URLs and uploaded source material. Chatbase removed the need to utilize the OpenAI API directly to code processes for submitting information to the AI engine to train the model, cutting down the amount of work for library information technology and making it possible to leverage the expertise of reference librarians and other public-facing staff, including student workers, to distribute the work of developing, refining, and reviewing training materials. This article will discuss the development of prompts, leveraging of existing data sources for training materials, and workflows involved in the pilot. It will argue that, when implementing AI-based tools in the academic library, involving staff from across the organization is essential to ensure buy-in and success. Although chatbots are designed to hide the effort of the people behind them, that labor is substantial and needs to be recognized
How Libraries Can Foster a Vibrant Local Music Community
Get PDFThis column outlines how libraries can add value to their both their digital offerings and programming while providing local music artists with a curated, low-barrier entrance into streaming media. Library-hosted digital music collections give up-and-coming artists increased exposure and credibility to listeners and open a wealth of opportunities to engage with their communities
Responsible AI Practice in Libraries and Archives: A Review of the Literature
Get PDFArtificial intelligence (AI) has the potential to positively impact library and archives collections and services—enhancing reference, instruction, metadata creation, recommendations, and more. However, AI also has ethical implications. This paper presents an extensive literature and review analysis that examines AI projects implemented in library and archives settings, asking the following research questions: RQ1: How is artificial intelligence being used in libraries and archives practice? RQ2: What ethical concerns are being identified and addressed during AI implementation in libraries and archives? The results of this literature review show that AI implementation is growing in libraries and archives and that practitioners are using AI for increasingly varied purposes. We found that AI implementation was most common in large, academic libraries. Materials used in AI projects usually involved digitized and born digital text and images, though materials also ranged to include web archives, electronic theses and dissertations (ETDs), and maps. AI was most often used for metadata extraction and reference and research services. Just over half of the papers included in the literature review mentioned ethics or values related issues in their discussions of AI implementation in libraries and archives, and only one-third of all resources discussed ethical issues beyond technical issues of accuracy and human-in-the-loop. Case studies relating to AI in libraries and archives are on the rise, and we expect subsequent discussions of relevant ethics and values to follow suit, particularly growing in the areas of cost considerations, transparency, reliability, policy and guidelines, bias, social justice, user communities, privacy, consent, accessibility, and access. As AI comes into more common usage, it will benefit the library and archives professions to not only consider ethics when implementing local projects, but to publicly discuss these ethical considerations in shared documentation and publications
Making Magic Happen: Building and Launching a Reader’s Advisory Kiosk
Get PDFFor many patrons, libraries are synonymous with books and reading. However, people don’t always take advantage of reader’s advisory services offered by libraries. Rather than approaching librarians for suggestions of what to read, most people instead turn to their personal networks or express a preference for more passive approaches to recommendations. As a halfway point between in-person reader’s advisory interactions and algorithmic recommendations, Worthington Libraries staff leveraged the NoveList and Polaris APIs to create custom book recommendation kiosks. Recommendation Stations, as we call them, allow people to scan a book barcode, browse read-alikes, check local availability and print shelf locations, all in the guise of an interactive fortune teller