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Having a Voice on Android: How hard can it be?

Talkat droidcon London 2019 · 2019-10-24..10-25· [android, machine-learning]
links:none on file
slides:none on file

Mobile voice features succeed or fail on concrete details: use reliable speech‑to‑text and pleasing TTS, show what users can say and offer multiple input modes, handle fallbacks and errors (Smart Life asks to “please add one” instead of explaining a missing device), leverage APIs and intents (Wolfram, Algolia, implicit intents) and installed apps, prefer graceful natural‑language parsing (Lyra handles variations), measure 71% voice preference, test with recorded audio or hardware playback rigs (169 Labs approach) and build predictable, recoverable flows.

AI-written summary · about

  1. 0:00Introduction and speaker background
  2. 1:02Voice UX on mobile today
  3. 3:52Intentional design for voice interfaces
  4. 6:38First disappointments in voice apps
  5. 10:01User persistence and success moments
  6. 14:39Error handling and user expectations
  7. 17:28Babel and conversation flow
  8. 19:14Fallbacks and ecosystem leverage
  9. 22:23Common UX principles for voice apps
  10. 25:36Making users feel in control
  11. 27:21Delighting users with voice
  12. 29:52Summary and future of voice UIs
  13. 31:17Q&A on voice testing
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