Children are ready for speech technology-but is the technology ready for them ?
By A. Nicol, Chris Casey, S. MacFarlane. 2004
Subfields: Speech & Audio, Human-Computer Interaction
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In Human-Computer Interaction
Citations in the corpus
- Designing an Online Infrastructure for Collecting AI Data From People With Disabilities (2021, background): “Such studies have investigated how one’s gender [10, 34, 42, 47, 50], race [10, 34], and socioeconomic status [1] could negatively afect the performance of an AI system such as facial recognition or natural language processing systems.”