AI-Infused Discovery Environments.
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| Title: | AI-Infused Discovery Environments. |
|---|---|
| Authors: | Galbreath, Blake L.1 blake.galbreath@wsu.edu, England, Erica2 erica.england@wsu.edu, Johnson, Corey M.3 coreyj@wsu.edu, Lange, Jen Saulnier4 jennifer.saulnier@wsu.edu |
| Source: | Information Technology & Libraries. Dec2025, Vol. 44 Issue 4, p1-17. 17p. |
| Subject Terms: | *Artificial intelligence, *Universities & colleges, Descriptive statistics |
| Geographic Terms: | Washington (State) |
| Abstract: | Although still in its infancy, artificial intelligence (AI) is rapidly making inroads into most facets of the library and education spheres. This paper outlines steps taken to examine Primo Research Assistant, an AI-infused discovery environment, for potential deployment at a large US public research university. The researchers aimed to evaluate the quality and relevance of the AI results in comparison to sources retrieved from the conventional search functionality, as well as the AI system's multi-paragraph overview reply to the search query. As a starting point, the authors collected 103 search strings from a Primo Zero Result Searches report to approximate a corpus of natural language search queries. For the same research area, it was discovered that there was only limited overlap between the titles returned by the AI tool versus the current discovery layer. The researchers did not find appreciable differences in the numbers of topic-relevant sources between the AI and non- AI search products (Yes = 46.3% vs. Yes = 45.6%, respectively). The overview summary is largely helpful in terms of learning more details about the recommended sources, but it also sometimes misrepresents connections between the sources and the research topic. Given the overall conclusion that the AI system did not constitute a clear advancement or decline in effective information retrieval, the authors will turn to usability testing to aid them in further implementation decisions. [ABSTRACT FROM AUTHOR] |
| Copyright of Information Technology & Libraries is the property of American Library Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 190457016 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: AI-Infused Discovery Environments. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Galbreath%2C+Blake+L%2E%22">Galbreath, Blake L.</searchLink><relatesTo>1</relatesTo><i> blake.galbreath@wsu.edu</i><br /><searchLink fieldCode="AR" term="%22England%2C+Erica%22">England, Erica</searchLink><relatesTo>2</relatesTo><i> erica.england@wsu.edu</i><br /><searchLink fieldCode="AR" term="%22Johnson%2C+Corey+M%2E%22">Johnson, Corey M.</searchLink><relatesTo>3</relatesTo><i> coreyj@wsu.edu</i><br /><searchLink fieldCode="AR" term="%22Lange%2C+Jen+Saulnier%22">Lange, Jen Saulnier</searchLink><relatesTo>4</relatesTo><i> jennifer.saulnier@wsu.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Information+Technology+%26+Libraries%22">Information Technology & Libraries</searchLink>. Dec2025, Vol. 44 Issue 4, p1-17. 17p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Universities+%26+colleges%22">Universities & colleges</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Washington+%28State%29%22">Washington (State)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Although still in its infancy, artificial intelligence (AI) is rapidly making inroads into most facets of the library and education spheres. This paper outlines steps taken to examine Primo Research Assistant, an AI-infused discovery environment, for potential deployment at a large US public research university. The researchers aimed to evaluate the quality and relevance of the AI results in comparison to sources retrieved from the conventional search functionality, as well as the AI system's multi-paragraph overview reply to the search query. As a starting point, the authors collected 103 search strings from a Primo Zero Result Searches report to approximate a corpus of natural language search queries. For the same research area, it was discovered that there was only limited overlap between the titles returned by the AI tool versus the current discovery layer. The researchers did not find appreciable differences in the numbers of topic-relevant sources between the AI and non- AI search products (Yes = 46.3% vs. Yes = 45.6%, respectively). The overview summary is largely helpful in terms of learning more details about the recommended sources, but it also sometimes misrepresents connections between the sources and the research topic. Given the overall conclusion that the AI system did not constitute a clear advancement or decline in effective information retrieval, the authors will turn to usability testing to aid them in further implementation decisions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Information Technology & Libraries is the property of American Library Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=190457016 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5860/ital.v44i4.17465 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: Universities & colleges Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Washington (State) Type: general Titles: – TitleFull: AI-Infused Discovery Environments. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Galbreath, Blake L. – PersonEntity: Name: NameFull: England, Erica – PersonEntity: Name: NameFull: Johnson, Corey M. – PersonEntity: Name: NameFull: Lange, Jen Saulnier IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 07309295 Numbering: – Type: volume Value: 44 – Type: issue Value: 4 Titles: – TitleFull: Information Technology & Libraries Type: main |
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