Artificial Intelligence (AI) is the backbone of many current technologies and the power of machine learning is beginning to impact sophisticated information retrieval needs, such as currency awareness tools. Refined methods for staying current in specific areas of research while combatting information overload is essential for faculty, researchers, and graduate students. Machine learning offers great promise of customizing the awareness algorithm to individualized needs. The purpose of this study is to evaluate Scitrus, a recently-launched, AI-enhanced research discovery tool for all disciplines to help researchers stay current. Our investigation looked at Scitrus to evaluate the currency, quality and diversity of the content feed and how it evolves with user interaction. Our design included an intervention feed on a targeted topic and a control for comparison purposes. We then compared Scitrus with other currency awareness tools. Our findings include insight into the set-up of topics within content feeds and the comparative variation in content across types of currency awareness tools. Our next steps include promoting this to our user campus user groups and gathering user feedback for further investigation.

Less Searching, More Reading: How AI-Enhanced Discovery Tools Can Help Researchers Stay Current

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