A system solution to enhance the interactivity of live digital people broadcasting
For the digital person live may have a strong sense of mechanics, interaction lag problem, Yuanzhen digital person to provide the following solutions:
- Q&A Model Customization: Utilizing the platform's self-built big model function, pre-implanted industry FAQ library. For example, the e-commerce scenario can be set up with 200+ commodity QA pairs, and the system will automatically match the optimal answer according to the keywords in the pop-up screen.
- Two-level interaction mechanism: Set up a real-time voice-driven + preset response combination program. Simple questions (e.g., price inquiries) are responded to instantly by AI, and complex questions trigger a human takeover button
- Data Feedback Optimization: Adjust 3-5 response style templates per week with the platform's built-in viewer dwell time analysis. Tests show that A/B testing different response styles leads to increased retention rates 35%
- Emotional expression enhancement: Enable micro-expression parameter adjustment in the digital split settings, it is recommended to set the mouth angle amplitude to 15-20 degrees, and keep the blinking frequency at 8-12 times per minute.
Practical advice: complete at least 20 rounds of conversation training before the first broadcast, and reserve 15% of response space for improvisation in the live broadcast.
This answer comes from the articleYuanzhen digital people: digital people live, oral short video, commercialization AI avatar live toolThe
May not be reproduced without permission:AI productivity tools " How to solve the pain point of poor live interactivity for digital people and improve audience retention?
