Master’s Thesis Presentation • Human-Computer Interaction — Comparing Smartphone Speech Recognition and Touchscreen Typing for Composition and TranscriptionExport this event to calendar

Wednesday, August 19, 2020 — 10:00 AM EDT

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

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

Ruan et 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.

To join this presentation on Zoom, please go to https://us02web.zoom.us/j/83496499986?pwd=TlFqdjNBR3NiTmxLVytKUC9BWnNzdz09.

Location 
Online presentation
200 University Avenue West

Waterloo, ON N2L 3G1
Canada

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