/plushcap/analysis/deepgram/design-principles-for-conversational-ai-a-primer

Design Principles For Conversational AI: A Primer

What's this blog post about?

Designing conversational AI involves understanding the structure of sentences and creating a flow chart for interactions. Key terminology includes wake word, utterance, intent, slot, and prompt. When designing a bot, consider modality (text or voice), personality, and accents to ensure users feel heard and understood. A successful interaction script can serve as a base for building the conversational flow. Prototyping tools like Figma or Voiceflow can be used to design the flow chart. Keep prompts small and use clear language to make it easy for users to know what to say. Cover corner cases by anticipating potential errors and designing solutions. Design for real people and conversations, considering their environment and needs. Multimodal communication, such as combining voice and screen interfaces, can enhance the user experience. Analyzing conversations through sentiment analysis, topic detection, and summaries can help improve chatbot performance.

Company
Deepgram

Date published
March 7, 2023

Author(s)
Kusum Ijari

Word count
1952

Hacker News points
None found.

Language
English


By Matt Makai. 2021-2024.