Designing Experiences For Voice Interactions
summary
Claims that voice is harder than it looks and gives a concrete workflow: map brand values to a distinct assistant persona, list specific tasks and user contexts, prototype with role‑play testing and simple Wizard‑of‑Oz runs before any code, and iterate from analytics. Notes practical constraints: use available pre‑trained NLP models but adapt them to local languages, expect noisy contexts like headphones and gloves, and plan for accessibility. Cites a market goal of roughly 8 billion assistants by 2023 as urgency to start experimenting now.
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chapters (7)
- 0:00Introduction and background
- 7:27Voice interactions overview
- 13:25Human psychology in design
- 23:46Technology and future of voice
- 35:32AI and machine learning basics
- 40:24Design process for voice assistants
- 47:51Practical testing and takeaways
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