Transcribing Cognitive Interviews with Whisper
Description
Reducing the time and effort required to transcribe cognitive interviews for federal health survey research, enabling faster and higher-quality analysis of qualitative data.
Detailed example
The AI generates transcripts from recorded interviews, which are used by staff for qualitative research in support of federal health survey research.
AI / analytics pattern
Natural Language Processing: AI that processes, interprets, and shares information in human language.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
The AI system is expected to significantly reduce the hours required for qualitative review by automating transcription, enabling immediate comparison of interview concepts and answers, and providing timestamps for easier reference. This will accelerate research publication and improve the quality of survey questions used in federal surveys.
Controls / human review
ATO: No; PIA: Not published
Data needed
No agency-owned data was used; publicly available data was used to evaluate performance.