AI-generated Answer for harry024453
To develop a good turn-taking model for a conversational agent, here are some suggestions on the available information:
System Prompt
The system prompt should be designed to encourage clear and structured communication. For example:
- "You are a helpful and patient conversational agent. Wait for the user to finish speaking before responding. If the user pauses for a long time, politely ask if they need assistance or clarification."
Default Settings
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Turn Timeout: While the "Turn timeout" parameter is intended to force the agent to respond after prolonged silence, there is a known issue with this feature not functioning as intended. You may need to monitor updates from ElevenLabs regarding its functionality.
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Model Selection: If users feel interrupted frequently, consider using a slower model like Claude, as it allows more time for the user to think and speak before the agent responds. Faster models may lead to interruptions.
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Prompt Design: Rephrase questions to encourage longer responses. For example:
- Instead of "Is this correct?" use "Could you confirm if this information is correct by saying 'yes, that's correct' or 'no, that's not correct'?"
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Testing Across Devices: Since turn-taking issues may vary depending on the device (e.g., phone vs. computer), test the agent across different platforms to identify patterns and optimize settings.
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Dynamic Conversation: Use the dynamic conversation feature to override agent settings at the start of each session. This allows customization for specific use cases without affecting global settings.
If you continue to experience issues, you may want to explore creating a new agent with the same settings to see if the problem persists. For further customization or increased limits, consider reaching out to the Enterprise Team.
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