- 专利标题: Computationally reacting to a multiparty conversation
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申请号: US16798248申请日: 2020-02-21
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公开(公告)号: US11417318B2公开(公告)日: 2022-08-16
- 发明人: Andrew Reece , Peter Bull , Gus Cooney , Casey Fitzpatrick , Gabriella Rosen Kellerman , Ryan Sonnek
- 申请人: BetterUp, Inc.
- 申请人地址: US CA San Francisco
- 专利权人: BetterUp, Inc.
- 当前专利权人: BetterUp, Inc.
- 当前专利权人地址: US CA San Francisco
- 代理机构: Kwan & Olynick LLP
- 主分类号: G10L15/22
- IPC分类号: G10L15/22 ; G06F40/35 ; G10L15/06 ; G06N20/00 ; G06V20/40
摘要:
Technology is provided for causing a computing system to extract conversation features from a multiparty conversation (e.g., between a coach and mentee), apply the conversation features to a machine learning system to generate conversation analysis indicators, and apply a mapping of conversation analysis indicators to actions and inferences to determine actions to take or inferences to make for the multiparty conversation. In various implementations, the actions and inferences can include determining scores for the multiparty conversation such as a score for progress toward a coaching goal, instant scores for various points throughout the conversation, conversation impact score, ownership scores, etc. These scores can be, e.g., surfaced in various user interfaces along with context and benchmark indicators, used to select resources for the coach or mentee, used to update coach/mentee matchings, used to provide real-time alerts to signify how the conversation is going, etc.
公开/授权文献
- US20210264900A1 COMPUTATIONALLY REACTING TO A MULTIPARTY CONVERSATION 公开/授权日:2021-08-26
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