Posts tagged with qualitative

Showing 1 - 10 of 37 items
Stock image shows ethnically and gender-diverse avatars spread across a 2D globe map. This is a decorative image.
  • Ani Bezirdzhyan
We know very little about how authors and readers experience the impact of open-access (OA) books. Usage metrics and citations obscure their humanity. In Fall 2023, we interviewed authors and readers of monographs published as OA by the University of Michigan Press. Our qualitative research project documented their experiences, used AI to discover patterns in their responses, and provided evidence-based recommendations for improving OA book publishing.
Frequency of Library Search Use chart
  • Ben Howell
  • Robyn Ness
The U-M Library UX + Design Team conducted a benchmark survey in late 2022 aiming to understand people’s experience with Library Search. Objectives included measuring user satisfaction, identifying audience needs, and comparing results with Harvard University’s survey using the same methodology. Survey findings guided the development of the Library Search Product Statement as well as user centered improvements such as implementing LibKey Direct-to-PDF API, and refining catalog results filters.
Photo of a table and paperwork for focus group interviews.
  • Lulu Zhou
In Fall 2022, the Library Environments department began a pilot of two designated “zoned” spaces in response to user feedback asking for more information about what to expect from a study space. We conducted focus groups and integrated participatory design to learn about how users are perceiving and experiencing these labeled spaces.
Dr. Wilkinson Daniel Wong Gonzales interviewing a Lannang speaker
  • Joanna Thielen
  • Rachel Woodbrook
  • Jake Carlson
In this interview, Dr. Wilkinson Daniel Wong Gonzales (U-M alum; PhD in Linguistics 2022) describes why he decided to share the data set entitled "The Lannang Corpus (LanCorp): A POS-tagged, sociolinguistic corpus containing recordings and transcriptions of Lannang speech collected from the metropolitan Manila Lannangs between 2016 and 2020" in Deep Blue Data.
A grid of nine abstract representations of people and computers rendered in a generic style of illustration. Blurry pastel colors on white backgrounds seem to suggest floating computer screens and groups of human figures in conversation. Note: DALL·E mini is open source. AI-generated images do not fall under copyright because they lack the element of human creative expression. Source: https://www.smithsonianmag.com/smart-news/us-copyright-office-rules-ai-art-cant-be-copyrighted-180979808/
  • Scott David Witmer
The University of Michigan Library’s efforts to develop our digital preservation program created an opportunity to request additional support during the annual budget cycle. With only a few months to draft recommendations, the Digital Preservation Steering Committee performed an assessment survey to gather feedback from stakeholders across the library.
Sculpture of the word "understanding." Located in København, Danmark.
  • Heidi Burkhardt
A redesign of the library blogs platform kicked off last fall with time dedicated to understanding the current site and its usage, reviewing what other libraries do, and conducting a needs assessment survey with stakeholders. This approach has allowed efficient decision making and informed requirements, while engaging stakeholders early in the redesign process.
Screen shot of Library Catalog Search results, and interview participant and interviewer.
  • Annika Rose Gidley
The University of Michigan Library is home to a vast collection of materials representing dozens of languages. U-M Library Catalog Search, however, can cause difficulties for users searching for materials in languages other than English. In Summer 2021 we conducted an exploratory study on the experience of searching for non-English materials within U-M Library Catalog Search in order to better understand challenges users face, how they overcome them, and what we can do to mitigate the problem.
Photo of the Hatcher Library Reading Room.
  • Zoe Alyse Garden
When you use library services, do you think about the interaction-generated data? The U-M Library collects data on its patrons, from user profiles to online resource access information. Recently, the library has considered using this data to engage in library analytics, making inferences about users’ future behaviors. An Engagement Fellows project that began in 2020 seeks to learn more about what library patrons think of the use of analytics at the U-M Library.
A word cloud with such words as: accessibility, PDF, ADA, WCAG2.0, user experience, assistive technology, etc.
  • Bryan Birchmeier
The Accessibility Remediation Team was created to serve as a resource for students, faculty, and staff when they needed more accessible library content. Beginning in the Fall 2020 we identified tools and processes to use in remediating video, audio, and PDFs for accessibility. As part of our service, we focused on assessment, gathering feedback through ‘exit’ surveys of colleagues and patrons, and using project management tools to gauge the amount of time tasks take to complete.
Sticky note of a light bulb pinned on a cork board.
  • Autumn Wetli
This blog post reflects on the work of students to explore the collection-related needs of undergraduate students, through surveys and interviews.