Apr 24
"This Wasn't Made for Me": Recentering User Experience and Emotional Impact in the Evaluation of ASR Bias
★★★★★
significance 3/5
This research examines the emotional and psychological impact of Automatic Speech Recognition (ASR) bias on users from diverse dialect communities. The study finds that users often perform invisible labor, such as code-switching, to compensate for systems that fail to recognize their cultural backgrounds.
Why it matters
Quantifying the psychological toll of algorithmic bias shifts the focus from technical accuracy to the human cost of exclusionary design.
Tags
#asr #bias #user experience #speech recognition #sociolinguisticsRelated coverage
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