This study compares the traditional search methods, which is to search from video recordings of the meetings by moving the slider back and forth or by keyword search in transcripts versus integrated AI video plus transcript search. Based on the previous test results, we introduced some human-centric design features to the AI and built a new enhanced AI search tool for information retrieval. For search technique efficiency testing, the method had two set of experiments. The first results of the experiment showed that AI-based search algorithms were more accurate and faster than conventional search approaches. Participants were also happier with the AI-powered search experience, praising the system’s ability to find relevant material and make targeted recommendations quickly. The second experiment showed what features, if used, can improve the information retrieval process. In summary, this study offers useful insights into the relative effectiveness of conventional search methods, artificial intelligence (AI) search, and advanced AI search strategies. The findings contribute to the continuing discussion about improving information retrieval systems and the possible uses of artificial intelligence to enhance the search for fast, useful, and user-friendly information Retrieval.
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