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Access to News Audio User Interaction in Speech Retrieval Systems. by Jinmook Kim and Douglas W. Oard. May 31, 2002 19th Annual Symposium and Open House Human-Computer Interaction Lab University of Maryland. Research Questions.
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Access to News AudioUser Interaction in Speech Retrieval Systems by Jinmook Kim and Douglas W. Oard May 31, 2002 19th Annual Symposium and Open House Human-Computer Interaction Lab University of Maryland
Research Questions • What relevance criteria do searchers rely on when selecting spoken word materials? 2. What attributes of the recordings do searchers use as a basis for assessing relevance?
Search Systems • NPR Online • Manually prepared transcripts • Human cataloging • SpeechBot • Automatic Speech Recognition • Automatic indexing
Qualitative Study Design • 5 students in a graduate seminar on Visual and Sound Materials • Searched both systems • 3 started with NPR, 2 with SpeechBot • Three search topics • Two given by the investigator • One developed by the participant
Data Collection • Observation • Think-aloud • Semi-structured interview
Some Takeaway Messages • Recognition errors may not bother the system, but they do bother the user! • Segment-level indexing can help to provide effective access http://www.glue.umd.edu/~jinmook