Master’s Thesis Presentation • Human-Computer Interaction — Comparing Smartphone Speech Recognition and Touchscreen Typing for Composition and Transcription

Wednesday, August 19, 2020 10:00 am - 10:00 am EDT (GMT -04:00)

Please note: This master’s thesis presentation will be given online.

Margaret Foley, Master’s candidate
David R. Cheriton School of Computer Science

¸é³Ü²¹²ÔÌýet al. found transcribing short phrases with speech recognition nearly 200% faster than typing on a smartphone. We extend this comparison to a novel composition task, using a protocol that enables a controlled comparison with transcription. Results show that both composing and transcribing with speech is faster than typing. But, the magnitude of this difference is lower with composition, and speech has a lower error rate than keyboard during composition, but not during transcription. When transcribing, speech outperformed typing in most NASA-TLX measures, but when composing, there were no significant differences between typing and speech for any measure except physical demand.

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