Type of Presentation
Individual paper/presentation
Conference Strand
Assessment
Target Audience
Higher Education
Second Target Audience
K-12
Location
Ogeechee Theatre
Relevance
The presentation discusses the use of GenAI tools to enhance workplace productivity related to teaching information literacy in academic libraries (whether in one-on-one research consultations or in-class group sessions).
Proposal
After the public release of ChatGPT by OpenAI in November 2022, GenAI systems have been applied and tested in a wide variety of contexts, including those aimed at increasing workplace productivity. In fact, some studies estimate the GenAI enhancements to work functions to generate a shocking additional trillions of dollars annually in the nearest future, with the knowledge work industry especially likely to be impacted. This presentation uses these predictions to look into the potential of ChatGPT to enhance reference and research librarian workflows. The specific explored productivity use case scenarios include harnessing the power of the chatbot to streamline and scale up preparations for the delivery of personalized research consultations, drafting of scripts for the design of asynchronous information literacy tutorials, and expansion of chat services by creating a customized library virtual assistant via the OpenAI’s GPT Builder. Automation of several clerical work tasks that reference and research librarians get typically involved in, such as generating meeting minutes or email summaries, are also briefly discussed. The presentation concludes with sample analysis of the Return on Investment (ROI) of these modifications, including quantitative benefits (e.g., time and salary savings) and qualitative returns (e.g., enhanced employee satisfaction).
Short Description
After the public release of ChatGPT in 2022, GenAI systems have been applied in a variety of work contexts to boost productivity. This presentation explores how ChatGPT can enhance reference and research librarian workflows, such as streamlining preparation for the delivery of personalized research consultations, drafting of scripts for the design of asynchronous information literacy tutorials, and expanding chat services by creating a customized library virtual assistant. It also touches on automating clerical tasks like generating meeting minutes and email summaries. The presentation concludes with an analysis of the Return on Investment (ROI) of these enhancements, including both quantitative and qualitative benefits.
Keywords
ChatGPT, Generative artificial intelligence, librarian workplace productivity, task automation, reference and research librarians, academic libraries, return on investment.
Publication Type and Release Option
Presentation (Open Access)
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Khailova, Ladislava, "Harnessing the Power of ChatGPT to Streamline Reference and Research Librarian Workflows: Sample Productivity Use Case Scenarios and Their ROI" (2025). Georgia International Conference on Information Literacy. 4.
https://digitalcommons.georgiasouthern.edu/gaintlit/2025/2025/4
Harnessing the Power of ChatGPT to Streamline Reference and Research Librarian Workflows: Sample Productivity Use Case Scenarios and Their ROI
Ogeechee Theatre
After the public release of ChatGPT by OpenAI in November 2022, GenAI systems have been applied and tested in a wide variety of contexts, including those aimed at increasing workplace productivity. In fact, some studies estimate the GenAI enhancements to work functions to generate a shocking additional trillions of dollars annually in the nearest future, with the knowledge work industry especially likely to be impacted. This presentation uses these predictions to look into the potential of ChatGPT to enhance reference and research librarian workflows. The specific explored productivity use case scenarios include harnessing the power of the chatbot to streamline and scale up preparations for the delivery of personalized research consultations, drafting of scripts for the design of asynchronous information literacy tutorials, and expansion of chat services by creating a customized library virtual assistant via the OpenAI’s GPT Builder. Automation of several clerical work tasks that reference and research librarians get typically involved in, such as generating meeting minutes or email summaries, are also briefly discussed. The presentation concludes with sample analysis of the Return on Investment (ROI) of these modifications, including quantitative benefits (e.g., time and salary savings) and qualitative returns (e.g., enhanced employee satisfaction).