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UID:pretalx-chla-absc-2026-TYTD7F@pretalx.com
DTSTART;TZID=EST:20260604T112000
DTEND;TZID=EST:20260604T114000
DESCRIPTION:Introduction \n\nAs the production of knowledge synthesis resea
 rch accelerates in the field of exercise science\, so has the proliferatio
 n of generative AI (genAI) academic search engines that claim to speed up 
 the process of information retrieval—an often time-consuming and resourc
 e-intensive slog that requires specialized skills. These tools are potenti
 ally an attractive option for researchers looking to save time and resourc
 es\, but it remains uncertain whether they can match the rigor of traditio
 nal search methods. Undermind is a genAI academic search engine that aims 
 to help users “research with unprecedented breadth and depth” and uses
  iterative semantic search technology to search faster than a human withou
 t compromising thoroughness. This study asks: Does Undermind match or impr
 ove upon the real-world search practices reported in exercise science know
 ledge synthesis studies? \n\nMethods \n\nThis study calculated the precisi
 on and recall of the academic AI search engine Undermind against a random 
 sample of search methods reported in 50 systematic reviews published in ex
 ercise science journals between 2015-2020. Each review question was search
 ed the same way twice in Undermind to assess replicability. An analysis wa
 s conducted to explore patterns in the performance of Undermind.  \n\nResu
 lts \n\nAnalysis is ongoing and results will be added.  \n\nDiscussion & C
 onclusion to be added.
DTSTAMP:20260506T124812Z
LOCATION:Borduas-Krieghoff2
SUMMARY:The Elephant in the Room: Does Undermind Outperform Real-World Know
 ledge Synthesis Search? A Case Study in Exercise Science. - Erica Nekolaic
 huk
URL:https://pretalx.com/chla-absc-2026/talk/TYTD7F/
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